Web service composition is a concept based on the built of an abstract process, by combining multiple existing class instances, where during the execution, each service class is replaced by a concrete service, selected from several web service candidates. This approach has as an advantage generating flexible and low coupling applications, based on its conception on many elementary modules available on the web. The process of service selection during the composition is based on several axes, one of these axes is the QoS-based web service selection. The Qos or Quality of Service represent a set of parameters that characterize the non-functional web service aspect (execution time, cost, etc...). The composition of web services based on Qos, is the process which allows the selection of the web services that fulfill the user need, based on its qualities. Selected services should optimize the global QoS of the composed process, while satisfying all the constraints specified by the client in all QoS parameters. In this paper, we propose an approach based on the concept of agent system and Skyline approach to effectively select services for composition, and reducing the number of candidate services to be generated and considered in treatment. To evaluate our approach experimentally, we use a several random datasets of services with random values of qualities.
Differentiating Algorithms of Cloud Task Scheduling Based on various Parametersiosrjce
Cloud computing is a new design structure for large, distributed data centers. Cloud computing
system promises to offer end user “pay as go” model. To meet the expected quality requirements of users, cloud
computing need to offer differentiated services to users. QoS differentiation is very important to satisfy
different users with different QoS requirements. In this paper, various QoS based scheduling algorithms,
scheduling parameters and the future scope of discussed algorithms have been studied. This paper summarizes
various cloud scheduling algorithms, findings of algorithms, scheduling factors, type of scheduling and
parameters considered
Web Service QoS Prediction Based on Adaptive Dynamic Programming Using Fuzzy ...redpel dot com
The document proposes a novel approach for predicting quality of service (QoS) metrics for cloud services. The approach combines fuzzy neural networks and adaptive dynamic programming (ADP) for improved prediction accuracy. Specifically, it uses an adaptive-network-based fuzzy inference system (ANFIS) to extract fuzzy rules from QoS data and employ ADP for online parameter learning of the fuzzy rules. Experimental results on a large QoS dataset demonstrate the prediction accuracy of this approach. The approach also provides a convergence proof to guarantee stability of the neural network weights during training.
Validation of pervasive cloud task migration with colored petri netredpel dot com
The document describes a study that used Colored Petri Nets (CPN) to model and simulate task migration in pervasive cloud computing environments. The study made the following contributions:
1) It expanded the semantics of CPN to include context information, creating a new CPN model called CCPN.
2) Using CCPN, it constructed two task migration models - one that considered context and one that did not - to simulate task migration in a pervasive cloud based on the OSGi framework.
3) It simulated the two models in CPN Tools and evaluated them based on metrics like task migration accessibility, integrity of the migration process, and system reliability and stability after migration. It also
Web Service QoS Prediction Approach in Mobile Internet Environmentsjins0618
Existing many Web service QoS prediction
approaches are very accurate in Internet environments,
however they cannot provide accurate prediction values in
Mobile Internet environments since QoS values of Web
services have great volatility. In this paper, we propose an
accurate Web service QoS prediction approach by weakening
the volatility of QoS data from Web services in Mobile Internet
environments. This approach contains three process, i.e., QoS
preprocessing, user similarity computing, and QoS predicting.
We have implemented our proposed approach with experiment
based on real world and synthetic datasets. The results show
that our approach outperforms other approaches in Mobile
Internet environments.
A profit maximization scheme with guaranteed quality of service in cloud comp...Shakas Technologies
A HYBRID CLOUD APPROACH FOR SECURE AUTHORIZED DEDUPLICATION
ABSTRACT:
Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting reduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing.
A profit maximization scheme with guaranteed quality of service in cloud comp...syeda yasmeen
The document proposes a double resource renting scheme for cloud service providers to maximize profits while guaranteeing quality of service. It involves combining short-term and long-term server renting to adapt to varying demand and reduce waste. The system is modeled as an M/M/m+D queuing model. An optimization problem is formulated to determine the optimal server configuration. Comparisons show the double renting scheme achieves higher profits compared to single renting while guaranteeing quality of service.
Cost-Minimizing Dynamic Migration of Content Distribution Services into Hybri...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...Nexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Differentiating Algorithms of Cloud Task Scheduling Based on various Parametersiosrjce
Cloud computing is a new design structure for large, distributed data centers. Cloud computing
system promises to offer end user “pay as go” model. To meet the expected quality requirements of users, cloud
computing need to offer differentiated services to users. QoS differentiation is very important to satisfy
different users with different QoS requirements. In this paper, various QoS based scheduling algorithms,
scheduling parameters and the future scope of discussed algorithms have been studied. This paper summarizes
various cloud scheduling algorithms, findings of algorithms, scheduling factors, type of scheduling and
parameters considered
Web Service QoS Prediction Based on Adaptive Dynamic Programming Using Fuzzy ...redpel dot com
The document proposes a novel approach for predicting quality of service (QoS) metrics for cloud services. The approach combines fuzzy neural networks and adaptive dynamic programming (ADP) for improved prediction accuracy. Specifically, it uses an adaptive-network-based fuzzy inference system (ANFIS) to extract fuzzy rules from QoS data and employ ADP for online parameter learning of the fuzzy rules. Experimental results on a large QoS dataset demonstrate the prediction accuracy of this approach. The approach also provides a convergence proof to guarantee stability of the neural network weights during training.
Validation of pervasive cloud task migration with colored petri netredpel dot com
The document describes a study that used Colored Petri Nets (CPN) to model and simulate task migration in pervasive cloud computing environments. The study made the following contributions:
1) It expanded the semantics of CPN to include context information, creating a new CPN model called CCPN.
2) Using CCPN, it constructed two task migration models - one that considered context and one that did not - to simulate task migration in a pervasive cloud based on the OSGi framework.
3) It simulated the two models in CPN Tools and evaluated them based on metrics like task migration accessibility, integrity of the migration process, and system reliability and stability after migration. It also
Web Service QoS Prediction Approach in Mobile Internet Environmentsjins0618
Existing many Web service QoS prediction
approaches are very accurate in Internet environments,
however they cannot provide accurate prediction values in
Mobile Internet environments since QoS values of Web
services have great volatility. In this paper, we propose an
accurate Web service QoS prediction approach by weakening
the volatility of QoS data from Web services in Mobile Internet
environments. This approach contains three process, i.e., QoS
preprocessing, user similarity computing, and QoS predicting.
We have implemented our proposed approach with experiment
based on real world and synthetic datasets. The results show
that our approach outperforms other approaches in Mobile
Internet environments.
A profit maximization scheme with guaranteed quality of service in cloud comp...Shakas Technologies
A HYBRID CLOUD APPROACH FOR SECURE AUTHORIZED DEDUPLICATION
ABSTRACT:
Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting reduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing.
A profit maximization scheme with guaranteed quality of service in cloud comp...syeda yasmeen
The document proposes a double resource renting scheme for cloud service providers to maximize profits while guaranteeing quality of service. It involves combining short-term and long-term server renting to adapt to varying demand and reduce waste. The system is modeled as an M/M/m+D queuing model. An optimization problem is formulated to determine the optimal server configuration. Comparisons show the double renting scheme achieves higher profits compared to single renting while guaranteeing quality of service.
Cost-Minimizing Dynamic Migration of Content Distribution Services into Hybri...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...Nexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Abstract— In today’s world, internet services are extremely essential as they're needed for accomplishing tasks during a matter of second. Internet services offer options like e-Booking, e-Shopping, e-Banking that helps users to accumulate everything from wherever they're. Presently internet developers use linguistics based mostly descriptions of internet services to pick out and compose them and supply one composition arrange to the users. In bound cases providing one arrange to the users might not enable them to explore alternative smart choices that are obtainable. With facilitate the assistance of culture loop pattern it's attainable to allow multiple choices to the user’s request which might help them to pick out an idea in step with their need and luxury. So associate formula is projected supported linguistics description associated multiple composite services dynamically and to supply the user a flexibility to pick out an optimized composition supported their comfort.
A profit maximization scheme with guaranteed quality of service in cloud comp...Pvrtechnologies Nellore
- The document proposes a double resource renting scheme for cloud service providers that combines short-term and long-term server renting. This aims to guarantee quality of service for all requests while reducing resource waste.
- A profit maximization problem is formulated to determine the optimal configuration of servers. Solutions are obtained for ideal and actual scenarios to maximize profit compared to a single renting scheme.
- Comparisons show the double renting scheme can guarantee complete service quality and obtain more profit than a single renting scheme that does not ensure quality of service.
PhD completion seminar: SerVal in B2B cloud computingRoland Padilla
This document provides an outline for Roland Padilla's PhD completion seminar on measuring service value in business-to-business cloud computing. The presentation will discuss: 1) the context and gap in existing research on this topic, 2) the purpose and research questions, 3) the research design including qualitative interviews and a quantitative survey, 4) the identified components of service value in B2B cloud computing, and 5) details on using partial least squares structural equation modeling to analyze the data. The goal is to develop and test a model explaining how various components of service value relate to customer satisfaction and repurchase intentions.
Score based deadline constrained workflow scheduling algorithm for cloud systemsijccsa
Cloud Computing is the latest and emerging trend in information technology domain. It offers utility- based
IT services to user over the Internet. Workflow scheduling is one of the major problems in cloud systems. A
good scheduling algorithm must minimize the execution time and cost of workflow application along with
QoS requirements of the user. In this paper we consider deadline as the major constraint and propose a
score based deadline constrained workflow scheduling algorithm that executes workflow within
manageable cost while meeting user defined deadline constraint. The algorithm uses the concept of score
which represents the capabilities of hardware resources. This score value is used while allocating
resources to various tasks of workflow application. The algorithm allocates those resources to workflow
application which are reliable and reduce the execution cost and complete the workflow application within
user specified deadline. The experimental results show that score based algorithm exhibits less execution
time and also reduces the failure rate of workflow application within manageable cost. All the simulations
have been done using CloudSim toolkit.
A BAYE'S THEOREM BASED NODE SELECTION FOR LOAD BALANCING IN CLOUD ENVIRONMENThiij
Cloud computing is a popular computing model as it renders service to large number of users request on
the fly and has lead to the proliferation of large number of cloud users. This has lead to the overloaded
nodes in the cloud environment along with the problem of load imbalance among the cloud servers and
thereby impacts the performance. Hence, in this paper a heuristic Baye's theorem approach is considered
along with clustering to identify the optimal node for load balancing. Experiments using the proposed
approach are carried out on cloudsim simulator and are compared with the existing approach. Results
demonstrates that task deployment performed using this approach has improved performance in terms of
utilization and throughput when compared to the existing approaches
A Baye's Theorem Based Node Selection for Load Balancing in Cloud Environmentneirew J
Cloud computing is a popular computing model as it renders service to large number of users request on
the fly and has lead to the proliferation of large number of cloud users. This has lead to the overloaded
nodes in the cloud environment along with the problem of load imbalance among the cloud servers and
thereby impacts the performance. Hence, in this paper a heuristic Baye's theorem approach is considered
along with clustering to identify the optimal node for load balancing. Experiments using the proposed
approach are carried out on cloudsim simulator and are compared with the existing approach. Results
demonstrates that task deployment performed using this approach has improved performance in terms of
utilization and throughput when compared to the existing approaches.
LOAD BALANCING ALGORITHM ON CLOUD COMPUTING FOR OPTIMIZE RESPONE TIMEijccsa
To improve the performance of cloud computing, there are many parameters and issues that we should consider, including resource allocation, resource responsiveness, connectivity to resources, unused resources exploration, corresponding resource mapping and planning for resource. The planning for the use of resources can be based on many kinds of parameters, and the service response time is one of them.
The users can easily figure out the response time of their requests, and it becomes one of the important QoSs. When we discover and explore more on this, response time can provide solutions for the distribution, the load balancing of resources with better efficiency. This is one of the most promising
research directions for improving the cloud technology. Therefore, this paper proposes a load balancing algorithm based on response time of requests on cloud with the name APRA (ARIMA Prediction of Response Time Algorithm), the main idea is to use ARIMA algorithms to predict the coming response time, thus giving a better way of effectively resolving resource allocation with threshold value. The experiment
result outcomes are potential and valuable for load balancing with predicted response time, it shows that prediction is a great direction for load balancing.
Camera ready-nash equilibrium-ngct2015-formataminnezarat
- The document proposes an auction-based method for efficient Nash equilibrium resource allocation in cloud computing using game theory.
- In the proposed method, users submit price bids over multiple rounds until reaching a Nash equilibrium where no user wants to change their bid. This equilibrium bid also maximizes utility for the resource provider.
- The method is simulated in CloudSim and results show it converges faster than previous methods, with lower SLA violations and higher provider utility.
AN EFFICIENT ALGORITHM FOR THE BURSTING OF SERVICE-BASED APPLICATIONS IN HYB...Nexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Web Modeling-based Approach to Automating Web Services Mediation, Choreograph...Marco Brambilla
This document summarizes a modeling approach for automating web service mediation, choreography, and discovery. The approach uses Web Modeling Language (WebML) to model business processes, ontologies, navigation, and service invocation patterns. WebML models are generated from business process models and refined by designers. The models can then be used to automatically generate mediators and hypertextual applications. The approach also leverages the GLUE discovery engine to manage dynamics like partner and ontology changes.
Service performance and analysis in cloud computing extened 2Abdullaziz Tagawy
This is a study to the research paper (Service Performance and Analysis in Cloud Computing) by Kaiqi Xiong and Harry Perros in the class related to the course of EC636 Stochastic and Random Process in Tripoli University-Engineering faculty-Computer Engineering Department.
You can find this paper in (https://ieeexplore.ieee.org/document/5190711)
Reza Rahimi is a principal staff algorithm and software architect at Huawei who has done research on self-tuning and managing services. His PhD topic was on QoS-aware resource management in mobile cloud computing. He has since worked on topics like intelligent cloud management and optimization, mobile cloud computing, and low complexity secure code for big data in cloud storage.
USER-CENTRIC OPTIMIZATION FOR CONSTRAINT WEB SERVICE COMPOSITION USING A FUZZ...ijwscjournal
This document summarizes a research paper that proposes a user-centric approach for evaluating and optimizing constraint-based web service compositions using fuzzy logic and genetic algorithms. The approach uses fuzzy logic to model user preferences through quality criteria rankings. It then uses a genetic algorithm to optimize the composition process to maximize user satisfaction based on those fuzzy preferences. The results showed that the fuzzy-genetic algorithm system enables users to more easily and efficiently participate in and guide the web service composition process according to their needs and preferences.
USER-CENTRIC OPTIMIZATION FOR CONSTRAINT WEB SERVICE COMPOSITION USING A FUZZ...ijwscjournal
Service-Oriented Applications (SOA) are being regarded as the main pragmatic solution for distributed environments. In such systems, however each service responds the user request independently, it is essential to compose them for delivering a compound value-added service. Since, there may be a number of compositions to create the requested service, it is important to find one which its properties are close to user’s desires and meet some non-functional constraints and optimize criteria such as overall cost or response time. In this paper, a user-centric approach is presented for evaluating the service compositions
which attempts to obtain the user desires. This approach uses fuzzy logic in order to inference based on quality criteria ranked by user and Genetic Algorithms to optimize the QoS-aware composition problem. Results show that the Fuzzy-based Genetic algorithm system enables user to participate in the process of web service composition easier and more efficient.
User-Centric Optimization for Constraint Web Service Composition using a Fuzz...ijwscjournal
ABSTRACT
Service-Oriented Applications (SOA) are being regarded as the main pragmatic solution for distributed
environments. In such systems, however each service responds the user request independently, it is
essential to compose them for delivering a compound value-added service. Since, there may be a number of
compositions to create the requested service, it is important to find one which its properties are close to
user’s desires and meet some non-functional constraints and optimize criteria such as overall cost or
response time. In this paper, a user-centric approach is presented for evaluating the service compositions
which attempts to obtain the user desires. This approach uses fuzzy logic in order to inference based on
quality criteria ranked by user and Genetic Algorithms to optimize the QoS-aware composition problem.
Results show that the Fuzzy-based Genetic algorithm system enables user to participate in the process of
web service composition easier and more efficient.
CLUSTERING-BASED SERVICE SELECTION FOR DYNAMIC SERVICE COMPOSITIONIJwest
The increase in the number of available web services led to the increase in the similarity of services functionality offered by different providers each with different QoS parameters. Therefore, in web service composition, the selection of the optimal service to satisfy the QoS values required by user is one of the significant requirements. Moreover, the dynamic nature of web services adds more challenges to obtain the accuracy of the selection process. Most of the existing service composition approaches deal with services changes during composition execution, causing a re-planning or re-selection that affecst the service composition performance. In this paper, we introduce the clustering-based service selection model that outperforms the existing ones. The proposed model has the ability to detect and recover the changes in service repository by monitoring the composition process from a global point of view. The approach is a two-levels-based web service clustering. The proposed model encompasses a clustering process, a planning process, a selection process and a recovery process.
This document discusses different algorithms for task scheduling in cloud computing environments based on various quality of service (QoS) parameters. It summarizes several QoS-based scheduling algorithms including QDA, Improved Cost Based, PAPRIKA, ANT Colony, CMultiQoSSchedule, and SHEFT Workflow. It also provides a comparative table of these algorithms and discusses the various metrics considered by QoS-based scheduling algorithms like time, cost, makespan, trust, and resource utilization. The paper concludes that scheduling is an important factor for cloud environments and that existing algorithms can be improved by considering additional parameters like trust values, execution rates, and success rates.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the
semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their
functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the
semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services. In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
AN ADAPTIVE APPROACH FOR DYNAMIC RECOVERY DECISIONS IN WEB SERVICE COMPOSITIO...ijwscjournal
Service Oriented Architecture facilitates automatic execution and composition of web services in
distributed environment. This service composition in the heterogeneous environment may suffer from
various kinds of service failures. These failures interrupt the execution of composite web services and
lead towards complete system failure. The dynamic recovery decisions of the failed services are
dependent on non-functional attributes of the services. In the recent years, various methodologies
have been presented to provide recovery decisions based on time related QoS (Quality of Service)
factors. These QoS attributes can be categorized further. Our paper categorized these attributes as
space and time. In this paper, we have proposed an affinity model to quantify the location affinity for
composition of web services. Furthermore, we have also suggested a replication mechanism and
algorithm for taking recovery decisions based on time and space based QoS parameters and usage
pattern of the services by the user.
Abstract— In today’s world, internet services are extremely essential as they're needed for accomplishing tasks during a matter of second. Internet services offer options like e-Booking, e-Shopping, e-Banking that helps users to accumulate everything from wherever they're. Presently internet developers use linguistics based mostly descriptions of internet services to pick out and compose them and supply one composition arrange to the users. In bound cases providing one arrange to the users might not enable them to explore alternative smart choices that are obtainable. With facilitate the assistance of culture loop pattern it's attainable to allow multiple choices to the user’s request which might help them to pick out an idea in step with their need and luxury. So associate formula is projected supported linguistics description associated multiple composite services dynamically and to supply the user a flexibility to pick out an optimized composition supported their comfort.
A profit maximization scheme with guaranteed quality of service in cloud comp...Pvrtechnologies Nellore
- The document proposes a double resource renting scheme for cloud service providers that combines short-term and long-term server renting. This aims to guarantee quality of service for all requests while reducing resource waste.
- A profit maximization problem is formulated to determine the optimal configuration of servers. Solutions are obtained for ideal and actual scenarios to maximize profit compared to a single renting scheme.
- Comparisons show the double renting scheme can guarantee complete service quality and obtain more profit than a single renting scheme that does not ensure quality of service.
PhD completion seminar: SerVal in B2B cloud computingRoland Padilla
This document provides an outline for Roland Padilla's PhD completion seminar on measuring service value in business-to-business cloud computing. The presentation will discuss: 1) the context and gap in existing research on this topic, 2) the purpose and research questions, 3) the research design including qualitative interviews and a quantitative survey, 4) the identified components of service value in B2B cloud computing, and 5) details on using partial least squares structural equation modeling to analyze the data. The goal is to develop and test a model explaining how various components of service value relate to customer satisfaction and repurchase intentions.
Score based deadline constrained workflow scheduling algorithm for cloud systemsijccsa
Cloud Computing is the latest and emerging trend in information technology domain. It offers utility- based
IT services to user over the Internet. Workflow scheduling is one of the major problems in cloud systems. A
good scheduling algorithm must minimize the execution time and cost of workflow application along with
QoS requirements of the user. In this paper we consider deadline as the major constraint and propose a
score based deadline constrained workflow scheduling algorithm that executes workflow within
manageable cost while meeting user defined deadline constraint. The algorithm uses the concept of score
which represents the capabilities of hardware resources. This score value is used while allocating
resources to various tasks of workflow application. The algorithm allocates those resources to workflow
application which are reliable and reduce the execution cost and complete the workflow application within
user specified deadline. The experimental results show that score based algorithm exhibits less execution
time and also reduces the failure rate of workflow application within manageable cost. All the simulations
have been done using CloudSim toolkit.
A BAYE'S THEOREM BASED NODE SELECTION FOR LOAD BALANCING IN CLOUD ENVIRONMENThiij
Cloud computing is a popular computing model as it renders service to large number of users request on
the fly and has lead to the proliferation of large number of cloud users. This has lead to the overloaded
nodes in the cloud environment along with the problem of load imbalance among the cloud servers and
thereby impacts the performance. Hence, in this paper a heuristic Baye's theorem approach is considered
along with clustering to identify the optimal node for load balancing. Experiments using the proposed
approach are carried out on cloudsim simulator and are compared with the existing approach. Results
demonstrates that task deployment performed using this approach has improved performance in terms of
utilization and throughput when compared to the existing approaches
A Baye's Theorem Based Node Selection for Load Balancing in Cloud Environmentneirew J
Cloud computing is a popular computing model as it renders service to large number of users request on
the fly and has lead to the proliferation of large number of cloud users. This has lead to the overloaded
nodes in the cloud environment along with the problem of load imbalance among the cloud servers and
thereby impacts the performance. Hence, in this paper a heuristic Baye's theorem approach is considered
along with clustering to identify the optimal node for load balancing. Experiments using the proposed
approach are carried out on cloudsim simulator and are compared with the existing approach. Results
demonstrates that task deployment performed using this approach has improved performance in terms of
utilization and throughput when compared to the existing approaches.
LOAD BALANCING ALGORITHM ON CLOUD COMPUTING FOR OPTIMIZE RESPONE TIMEijccsa
To improve the performance of cloud computing, there are many parameters and issues that we should consider, including resource allocation, resource responsiveness, connectivity to resources, unused resources exploration, corresponding resource mapping and planning for resource. The planning for the use of resources can be based on many kinds of parameters, and the service response time is one of them.
The users can easily figure out the response time of their requests, and it becomes one of the important QoSs. When we discover and explore more on this, response time can provide solutions for the distribution, the load balancing of resources with better efficiency. This is one of the most promising
research directions for improving the cloud technology. Therefore, this paper proposes a load balancing algorithm based on response time of requests on cloud with the name APRA (ARIMA Prediction of Response Time Algorithm), the main idea is to use ARIMA algorithms to predict the coming response time, thus giving a better way of effectively resolving resource allocation with threshold value. The experiment
result outcomes are potential and valuable for load balancing with predicted response time, it shows that prediction is a great direction for load balancing.
Camera ready-nash equilibrium-ngct2015-formataminnezarat
- The document proposes an auction-based method for efficient Nash equilibrium resource allocation in cloud computing using game theory.
- In the proposed method, users submit price bids over multiple rounds until reaching a Nash equilibrium where no user wants to change their bid. This equilibrium bid also maximizes utility for the resource provider.
- The method is simulated in CloudSim and results show it converges faster than previous methods, with lower SLA violations and higher provider utility.
AN EFFICIENT ALGORITHM FOR THE BURSTING OF SERVICE-BASED APPLICATIONS IN HYB...Nexgen Technology
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Web Modeling-based Approach to Automating Web Services Mediation, Choreograph...Marco Brambilla
This document summarizes a modeling approach for automating web service mediation, choreography, and discovery. The approach uses Web Modeling Language (WebML) to model business processes, ontologies, navigation, and service invocation patterns. WebML models are generated from business process models and refined by designers. The models can then be used to automatically generate mediators and hypertextual applications. The approach also leverages the GLUE discovery engine to manage dynamics like partner and ontology changes.
Service performance and analysis in cloud computing extened 2Abdullaziz Tagawy
This is a study to the research paper (Service Performance and Analysis in Cloud Computing) by Kaiqi Xiong and Harry Perros in the class related to the course of EC636 Stochastic and Random Process in Tripoli University-Engineering faculty-Computer Engineering Department.
You can find this paper in (https://ieeexplore.ieee.org/document/5190711)
Reza Rahimi is a principal staff algorithm and software architect at Huawei who has done research on self-tuning and managing services. His PhD topic was on QoS-aware resource management in mobile cloud computing. He has since worked on topics like intelligent cloud management and optimization, mobile cloud computing, and low complexity secure code for big data in cloud storage.
USER-CENTRIC OPTIMIZATION FOR CONSTRAINT WEB SERVICE COMPOSITION USING A FUZZ...ijwscjournal
This document summarizes a research paper that proposes a user-centric approach for evaluating and optimizing constraint-based web service compositions using fuzzy logic and genetic algorithms. The approach uses fuzzy logic to model user preferences through quality criteria rankings. It then uses a genetic algorithm to optimize the composition process to maximize user satisfaction based on those fuzzy preferences. The results showed that the fuzzy-genetic algorithm system enables users to more easily and efficiently participate in and guide the web service composition process according to their needs and preferences.
USER-CENTRIC OPTIMIZATION FOR CONSTRAINT WEB SERVICE COMPOSITION USING A FUZZ...ijwscjournal
Service-Oriented Applications (SOA) are being regarded as the main pragmatic solution for distributed environments. In such systems, however each service responds the user request independently, it is essential to compose them for delivering a compound value-added service. Since, there may be a number of compositions to create the requested service, it is important to find one which its properties are close to user’s desires and meet some non-functional constraints and optimize criteria such as overall cost or response time. In this paper, a user-centric approach is presented for evaluating the service compositions
which attempts to obtain the user desires. This approach uses fuzzy logic in order to inference based on quality criteria ranked by user and Genetic Algorithms to optimize the QoS-aware composition problem. Results show that the Fuzzy-based Genetic algorithm system enables user to participate in the process of web service composition easier and more efficient.
User-Centric Optimization for Constraint Web Service Composition using a Fuzz...ijwscjournal
ABSTRACT
Service-Oriented Applications (SOA) are being regarded as the main pragmatic solution for distributed
environments. In such systems, however each service responds the user request independently, it is
essential to compose them for delivering a compound value-added service. Since, there may be a number of
compositions to create the requested service, it is important to find one which its properties are close to
user’s desires and meet some non-functional constraints and optimize criteria such as overall cost or
response time. In this paper, a user-centric approach is presented for evaluating the service compositions
which attempts to obtain the user desires. This approach uses fuzzy logic in order to inference based on
quality criteria ranked by user and Genetic Algorithms to optimize the QoS-aware composition problem.
Results show that the Fuzzy-based Genetic algorithm system enables user to participate in the process of
web service composition easier and more efficient.
CLUSTERING-BASED SERVICE SELECTION FOR DYNAMIC SERVICE COMPOSITIONIJwest
The increase in the number of available web services led to the increase in the similarity of services functionality offered by different providers each with different QoS parameters. Therefore, in web service composition, the selection of the optimal service to satisfy the QoS values required by user is one of the significant requirements. Moreover, the dynamic nature of web services adds more challenges to obtain the accuracy of the selection process. Most of the existing service composition approaches deal with services changes during composition execution, causing a re-planning or re-selection that affecst the service composition performance. In this paper, we introduce the clustering-based service selection model that outperforms the existing ones. The proposed model has the ability to detect and recover the changes in service repository by monitoring the composition process from a global point of view. The approach is a two-levels-based web service clustering. The proposed model encompasses a clustering process, a planning process, a selection process and a recovery process.
This document discusses different algorithms for task scheduling in cloud computing environments based on various quality of service (QoS) parameters. It summarizes several QoS-based scheduling algorithms including QDA, Improved Cost Based, PAPRIKA, ANT Colony, CMultiQoSSchedule, and SHEFT Workflow. It also provides a comparative table of these algorithms and discusses the various metrics considered by QoS-based scheduling algorithms like time, cost, makespan, trust, and resource utilization. The paper concludes that scheduling is an important factor for cloud environments and that existing algorithms can be improved by considering additional parameters like trust values, execution rates, and success rates.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the
semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their
functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the
semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services. In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
AN ADAPTIVE APPROACH FOR DYNAMIC RECOVERY DECISIONS IN WEB SERVICE COMPOSITIO...ijwscjournal
Service Oriented Architecture facilitates automatic execution and composition of web services in
distributed environment. This service composition in the heterogeneous environment may suffer from
various kinds of service failures. These failures interrupt the execution of composite web services and
lead towards complete system failure. The dynamic recovery decisions of the failed services are
dependent on non-functional attributes of the services. In the recent years, various methodologies
have been presented to provide recovery decisions based on time related QoS (Quality of Service)
factors. These QoS attributes can be categorized further. Our paper categorized these attributes as
space and time. In this paper, we have proposed an affinity model to quantify the location affinity for
composition of web services. Furthermore, we have also suggested a replication mechanism and
algorithm for taking recovery decisions based on time and space based QoS parameters and usage
pattern of the services by the user.
AN ADAPTIVE APPROACH FOR DYNAMIC RECOVERY DECISIONS IN WEB SERVICE COMPOSITIO...ijwscjournal
Service Oriented Architecture facilitates automatic execution and composition of web services in distributed environment. This service composition in the heterogeneous environment may suffer from various kinds of service failures. These failures interrupt the execution of composite web services and lead towards complete system failure. The dynamic recovery decisions of the failed services are dependent on non-functional attributes of the services. In the recent years, various methodologies have been presented to provide recovery decisions based on time related QoS (Quality of Service) factors. These QoS attributes can be categorized further. Our paper categorized these attributes as space and time. In this paper, we have proposed an affinity model to quantify the location affinity for composition of web services. Furthermore, we have also suggested a replication mechanism and algorithm for taking recovery decisions based on time and space based QoS parameters and usage pattern of the services by the user.
MMUNE-INSPIRED METHOD FOR SELECTING THE OPTIMAL SOLUTION IN SEMANTIC WEB SE...dannyijwest
The increasing interest in developing efficient and effective optimization techniques has conducted
researchers to turn their attention towards biology. It has been noticed that biology offers many clues for
designing novel optimization techniques, these approaches exhibit self-organizing capabilities and permit
the reachability of promising solutions without the existence of a central coordinator. In this paper we
handle the problem of dynamic web service composition, by using the clonal selection algorithm. In order
to assess the optimality rate of a given composition, we use the QOS attributes of the services involved in
the workflow as well as, the semantic similarity between these components. The experimental evaluation
shows that the proposed approach has a better performance in comparison with other approaches such as
the genetic algorithm
Immune-Inspired Method for Selecting the Optimal Solution in Semantic Web Ser...IJwest
The increasing interest in developing efficient and effective optimization techniques has conducted researchers to turn their attention towards biology. It has been noticed that biology offers many clues for designing novel optimization techniques, these approaches exhibit self-organizing capabilities and permit the reachability of promising solutions without the existence of a central coordinator. In this paper we handle the problem of dynamic web service composition, by using the clonal selection algorithm. In order to assess the optimality rate of a given composition, we use the QOS attributes of the services involved in the workflow as well as, the semantic similarity between these components. The experimental evaluation shows that the proposed approach has a better performance in comparison with other approaches such as the genetic algorithm.
SERVICE ORIENTED QUALITY REQUIREMENT FRAMEWORK FOR CLOUD COMPUTINGijcsit
This research paper introduces a framework to identify the quality requirements of cloud computing services. It considered two dominant sub-layers; functional layer and runtime layer against cloud characteristics. SERVQUAL model attributes and the opinions of the industry experts were used to derive the quality constructs in cloud computing environment. The framework gives proper identification of cloud computing service quality expectations of users. The validity of the framework was evaluated by using
questionnaire based survey. Partial least squares-structural equation modelling (PLS-SEM) technique was
used to evaluate the outcome. The research findings shows that the significance of functional layer is
higher than runtime layer and prioritized quality factors of two layers are Service time, Information and
data security, Recoverability, Service Transparency, and Accessibility.
WEB SERVICE COMPOSITION IN DYNAMIC ENVIRONMENT: A COMPARATIVE STUDYcscpconf
This document provides a comparative study of 16 recent research papers on web service composition in dynamic environments. It evaluates the papers based on their approach to adapting to environmental changes, the composition phase they consider for detecting changes, whether they account for quality of service attributes, their main contributions, and whether they include experiments. The study finds that most approaches handle dynamism during the execution phase, treating earlier phases as static, and that more work is needed to detect and handle changes across all composition phases to build more reliable plans. Accounting for quality of service attributes and including experiments are also areas for improvement.
The document discusses resource allocation and scheduling (RAS) in cloud computing. It identifies five major topics in cloud RAS: locality-aware task scheduling, reliability-aware scheduling, energy-aware RAS, Software as a Service (SaaS) layer RAS, and workflow scheduling. These topics are classified into three parts: performance-based RAS, cost-based RAS, and performance- and cost-based RAS. Existing RAS policies and algorithms are discussed for each topic in terms of parameters like execution efficiency, cost-effectiveness, reliability, and resource utilization.
Cloud computing is the fastest emerging technology and a novel buzzword in the field of IT domain that offer distinct services, applications and focuses on providing sustainable, reliable, scalable and virtualized resources to its consumer. The main aim of cloud computing is to enhance the use of distributed resources to achieve higher throughput and resource utilization in large-scale computation problems. Scheduling affects the efficiency of cloud and plays a significant role in cloud computing to create high performance environment. The Quality of Service (QoS) requirements of user application define the scheduling of resources. Numbers of researchers have tried to solve these scheduling problems using different QoS based scheduling techniques. In this paper, a detail analysis of resource scheduling methodology is presented, with different types of scheduling based on soft computing techniques, their comparisons, benefits and results are discussed. Major finding of this paper helps researchers to decide suitable approach for scheduling user’s applications considering their QoS requirements.
QOS Aware Formalized Model for Semantic Web Service SelectionIJwest
Selecting the most relevant Web Service according to a client requirement is an onerous task, as innumerous number of functionally same Web Services(WS) are listed in UDDI registry. WS are functionally same but their Quality and performance varies as per service providers. A web Service Selection Process involves two major points: Recommending the pertinent Web Service and avoiding unjustifiable web service. The deficiency in keyword based searching is that it doesn’t handle the client request accurately as keyword may have ambiguous meaning on different scenarios. UDDI and search engines all are based on keyword search, which are lagging behind on pertinent Web service selection. So the search mechanism must be incorporated with the Semantic behavior of Web Services. In order to strengthen this approach, the proposed model is incorporated with Quality of Services (QoS) based Ranking of semantic web services.
This paper focuses on various concepts of Quality of Service associated with web services. Various QoS parameters like performance, availability, reliability and stability etc. are formalized in order to enhance the pertinence of web service selection. A QoS mediator agent based Web Service Selection Model is proposed where QoS Consultant acts as a Mediator Agent between clients and service providers. Model suggests user’s preferences on QoS parameter selection. The proposed model helps to select pertinent Web Service as per user’s requirement and reduce the human effort.. Further process of adding ontology with semantic web services is also illustrated here.
QOS OF WEB SERVICE: SURVEY ON PERFORMANCE AND SCALABILITYcscpconf
In today’s scenario, most of the organizations provide the services through the web. This makes the web service an important research area. In addition, early design and building web services, it is necessary to concentrate on the quality of web services. Performance is an important quality attributes that to be considered during the designing of web services. The expected
performance can be achieved by proper scheduling of resources and scalability of the system. Scalability is a desirable attribute of a process computer system or network. Poor scalability
can result in lacking system performance. Hence, in this paper, we have reviewed the literature available for the quality attributes of performance and scalability and identified the issues that
affect the quality attributes related to Web Services
This document reviews different techniques for selecting web services for web service composition based on quality of service (QoS) requirements. It discusses four main approaches: 1) a composition requirement tree approach, 2) a selection process based on a mediator, 3) selection based on QoS value prediction, and 4) a tool framework for composite web services. It compares these approaches based on factors like what QoS criteria they consider, whether they can handle functionally equivalent and non-equivalent services, and if they utilize databases like UDDI for discovering services. The document concludes that the tool framework approach is best as it leverages UDDI and QoS brokers while also testing services.
This document describes an electronic doorbell system that uses a keypad and GSM for home security. The system consists of a doorbell connected to a microcontroller that triggers a GSM module to send an SMS to the homeowner when the doorbell is pressed. The homeowner can then respond via button press to open the door, or a message will be displayed if they do not respond. An authorized person can enter a password on the keypad, and if multiple wrong passwords are entered, a message will be sent to the homeowner about a potential burglary attempt. The system aims to provide notification to homeowners and prevent unauthorized access through use of passwords and messaging capabilities.
Augmented reality, the new age technology, has widespread applications in every field imaginable. This technology has proven to be an inflection point in numerous verticals, improving lives and improving performance. In this paper, we explore the various possible applications of Augmented Reality (AR) in the field of Medicine. The objective of using AR in medicine or generally in any field is the fact that, AR helps in motivating the user, making sessions interactive and assist in faster learning. In this paper, we discuss about the applicability of AR in the field of medical diagnosis. Augmented reality technology reinforces remote collaboration, allowing doctors to diagnose patients from a different locality. Additionally, we believe that a much more pronounced effect can be achieved by bringing together the cutting edge technology of AR and the lifesaving field of Medical sciences. AR is a mechanism that could be applied in the learning process too. Similarly, virtual reality could be used in the field where more of practical experience is needed such as driving, sports, neonatal care training.
Image fusion is a sub field of image processing in which more than one images are fused to create an image where all the objects are in focus. The process of image fusion is performed for multi-sensor and multi-focus images of the same scene. Multi-sensor images of the same scene are captured by different sensors whereas multi-focus images are captured by the same sensor. In multi-focus images, the objects in the scene which are closer to the camera are in focus and the farther objects get blurred. Contrary to it, when the farther objects are focused then closer objects get blurred in the image. To achieve an image where all the objects are in focus, the process of images fusion is performed either in spatial domain or in transformed domain. In recent times, the applications of image processing have grown immensely. Usually due to limited depth of field of optical lenses especially with greater focal length, it becomes impossible to obtain an image where all the objects are in focus. Thus, it plays an important role to perform other tasks of image processing such as image segmentation, edge detection, stereo matching and image enhancement. Hence, a novel feature-level multi-focus image fusion technique has been proposed which fuses multi-focus images. Thus, the results of extensive experimentation performed to highlight the efficiency and utility of the proposed technique is presented. The proposed work further explores comparison between fuzzy based image fusion and neuro fuzzy fusion technique along with quality evaluation indices.
Graphs have become the dominant life-form of many tasks as they advance a
structure to represent many tasks and the corresponding relations. A powerful
role of networks/graphs is to bridge local feats that exist in vertices as they
blossom into patterns that help explain how nodal relations and their edges
impacts a complex effect that ripple via a graph. User cluster are formed as a
result of interactions between entities. Many users can hardly categorize their
contact into groups today such as “family”, “friends”, “colleagues” etc. Thus,
the need to analyze such user social graph via implicit clusters, enables the
dynamism in contact management. Study seeks to implement this dynamism
via a comparative study of deep neural network and friend suggest algorithm.
We analyze a user’s implicit social graph and seek to automatically create
custom contact groups using metrics that classify such contacts based on a
user’s affinity to contacts. Experimental results demonstrate the importance
of both the implicit group relationships and the interaction-based affinity in
suggesting friends.
This paper projects Gryllidae Optimization Algorithm (GOA) has been applied to solve optimal reactive power problem. Proposed GOA approach is based on the chirping characteristics of Gryllidae. In common, male Gryllidae chirp, on the other hand some female Gryllidae also do as well. Male Gryllidae draw the females by this sound which they produce. Moreover, they caution the other Gryllidae against dangers with this sound. The hearing organs of the Gryllidae are housed in an expansion of their forelegs. Through this, they bias to the produced fluttering sounds. Proposed Gryllidae Optimization Algorithm (GOA) has been tested in standard IEEE 14, 30 bus test systems and simulation results show that the projected algorithms reduced the real power loss considerably.
In the wake of the sudden replacement of wood and kerosene by gas cookers for several purposes in Nigeria, gas leakage has caused several damages in our homes, Laboratories among others. installation of a gas leakage detection device was globally inspired to eliminate accidents related to gas leakage. We present an alternative approach to developing a device that can automatically detect and control gas leakages and also monitor temperature. The system detects the leakage of the LPG (Liquefied Petroleum Gas) using a gas sensor, then triggred the control system response which employs ventilator system, Mobile phone alert and alarm when the LPG concentration in the air exceeds a certain level. The performance of two gas sensors (MQ5 and MQ6) were tested for a guided decision. Also, when the temperature of the environment poses a danger, LED (indicator), buzzer and LCD (16x2) display was used to indicate temperature and gas leakage status in degree Celsius and PPM respectively. Attension was given to the response time of the control system, which was ascertained that this system significantly increases the chances and efficiency of eliminating gas leakage related accident.
Feature selection problem is one of the main important problems in the text and data mining domain. This paper presents a comparative study of feature selection methods for Arabic text classification. Five of the feature selection methods were selected: ICHI square, CHI square, Information Gain, Mutual Information and Wrapper. It was tested with five classification algorithms: Bayes Net, Naive Bayes, Random Forest, Decision Tree and Artificial Neural Networks. In addition, Data Collection was used in Arabic consisting of 9055 documents, which were compared by four criteria: Precision, Recall, F-measure and Time to build model. The results showed that the improved ICHI feature selection got almost all the best results in comparison with other methods.
The document proposes the Gentoo Penguin Algorithm (GPA) to solve the optimal reactive power problem. The goal is to minimize real power loss. GPA is inspired by the natural behaviors of Gentoo penguins. In GPA, penguin positions represent potential solutions. Penguins move toward other penguins with lower "cost" or higher heat concentration, representing better solutions. Cost is defined by heat concentration and distance between penguins. Heat radiation decreases with distance. The algorithm is tested on the IEEE 57 bus system and reduces real power loss effectively compared to other methods.
08 20272 academic insight on applicationIAESIJEECS
This research has thrown up many questions in need of further investigation.There was an expressive quantitative-qualitative research, which a common investigation form was used in.The dialogue item was also applied to discover if the contributors asserted the media-based attitude supplements their learning of academic English writing classes or not.Data recounted academic” insights toward using Skype as a sustaining implement for lessons releasing based on chosen variables: their occupation, year of education, and knowledge with Skype discovered that there were no important statistical differences in the use of Skype units because of medical academics major knowledge. There are statistically important differences in using Skype units. The findings also, disclosed that there are statistically significant differences in using Skype units due to the practice with Skype variable, in favors of academics with no Skype use practice. Skype instrument as an instructive media is a positive medium to be employed to supply academic medical writing data and assist education. Academics who do not have enough time to contribute in classes believe comfortable using the Skype-based attitude in scientific writing. They who took part in the course claimed that their approval of this media is due to learning academic innovative medical writing.
Cloud computing has sweeping impact on the human productivity. Today it’s used for Computing, Storage, Predictions and Intelligent Decision Making, among others. Intelligent Decision-Making using Machine Learning has pushed for the Cloud Services to be even more fast, robust and accurate. Security remains one of the major concerns which affect the cloud computing growth however there exist various research challenges in cloud computing adoption such as lack of well managed service level agreement (SLA), frequent disconnections, resource scarcity, interoperability, privacy, and reliability. Tremendous amount of work still needs to be done to explore the security challenges arising due to widespread usage of cloud deployment using Containers. We also discuss Impact of Cloud Computing and Cloud Standards. Hence in this research paper, a detailed survey of cloud computing, concepts, architectural principles, key services, and implementation, design and deployment challenges of cloud computing are discussed in detail and important future research directions in the era of Machine Learning and Data Science have been identified.
Notary is an official authorized to make an authentic deed regarding all deeds, agreements and stipulations required by a general rule. Activities carried out at the notary office such as recording client data and file data still use traditional systems that tend to be manual. The problem that occurs is the inefficiency in data processing and providing information to clients. Clients have difficulty getting information related to the progress of documents that are being taken care of at the notary's office. The client must take the time to arrive to the notary's office repeatedly to check the progress of the work of the document file. The purpose of this study is to facilitate clients in obtaining information about the progress of the work in progress, and make it easier for employees to process incoming documents by implementing an administrative system. This system was developed with the waterfall system development method and uses the Multi-Channel Access Technology integrated in the website to simplify the process of delivering information and requesting information from clients and to clients with Telegram and SMS Gateway. Clients will come to the office only when there is a notification from the system via Telegram or SMS notifying that the client must come directly to the notary's office, thus leading to an efficient time and avoiding excessive transportation costs. The overall functional system can function properly based on the results of alpha testing. The results of beta testing conducted by distributing the system feasibility test questionnaire to end users, get a percentage of 96% of users agree the system is feasible to be implemented.
In this work Tundra wolf algorithm (TWA) is proposed to solve the optimal reactive power problem. In the projected Tundra wolf algorithm (TWA) in order to avoid the searching agents from trapping into the local optimal the converging towards global optimal is divided based on two different conditions. In the proposed Tundra wolf algorithm (TWA) omega tundra wolf has been taken as searching agent as an alternative of indebted to pursue the first three most excellent candidates. Escalating the searching agents’ numbers will perk up the exploration capability of the Tundra wolf wolves in an extensive range. Proposed Tundra wolf algorithm (TWA) has been tested in standard IEEE 14, 30 bus test systems and simulation results show the proposed algorithm reduced the real power loss effectively.
In this work Predestination of Particles Wavering Search (PPS) algorithm has been applied to solve optimal reactive power problem. PPS algorithm has been modeled based on the motion of the particles in the exploration space. Normally the movement of the particle is based on gradient and swarming motion. Particles are permitted to progress in steady velocity in gradient-based progress, but when the outcome is poor when compared to previous upshot, immediately particle rapidity will be upturned with semi of the magnitude and it will help to reach local optimal solution and it is expressed as wavering movement. In standard IEEE 14, 30, 57,118,300 bus systems Proposed Predestination of Particles Wavering Search (PPS) algorithm is evaluated and simulation results show the PPS reduced the power loss efficiently.
In this paper, Mine Blast Algorithm (MBA) has been intermingled with Harmony Search (HS) algorithm for solving optimal reactive power dispatch problem. MBA is based on explosion of landmines and HS is based on Creativeness progression of musicians-both are hybridized to solve the problem. In MBA Initial distance of shrapnel pieces are reduced gradually to allow the mine bombs search the probable global minimum location in order to amplify the global explore capability. Harmony search (HS) imitates the music creativity process where the musicians supervise their instruments’ pitch by searching for a best state of harmony. Hybridization of Mine Blast Algorithm with Harmony Search algorithm (MH) improves the search effectively in the solution space. Mine blast algorithm improves the exploration and harmony search algorithm augments the exploitation. At first the proposed algorithm starts with exploration & gradually it moves to the phase of exploitation. Proposed Hybridized Mine Blast Algorithm with Harmony Search algorithm (MH) has been tested on standard IEEE 14, 300 bus test systems. Real power loss has been reduced considerably by the proposed algorithm. Then Hybridized Mine Blast Algorithm with Harmony Search algorithm (MH) tested in IEEE 30, bus system (with considering voltage stability index)- real power loss minimization, voltage deviation minimization, and voltage stability index enhancement has been attained.
Artificial Neural Networks have proved their efficiency in a large number of research domains. In this paper, we have applied Artificial Neural Networks on Arabic text to prove correct language modeling, text generation, and missing text prediction. In one hand, we have adapted Recurrent Neural Networks architectures to model Arabic language in order to generate correct Arabic sequences. In the other hand, Convolutional Neural Networks have been parameterized, basing on some specific features of Arabic, to predict missing text in Arabic documents. We have demonstrated the power of our adapted models in generating and predicting correct Arabic text comparing to the standard model. The model had been trained and tested on known free Arabic datasets. Results have been promising with sufficient accuracy.
In the present-day communications speech signals get contaminated due to
various sorts of noises that degrade the speech quality and adversely impacts
speech recognition performance. To overcome these issues, a novel approach
for speech enhancement using Modified Wiener filtering is developed and
power spectrum computation is applied for degraded signal to obtain the
noise characteristics from a noisy spectrum. In next phase, MMSE technique
is applied where Gaussian distribution of each signal i.e. original and noisy
signal is analyzed. The Gaussian distribution provides spectrum estimation
and spectral coefficient parameters which can be used for probabilistic model
formulation. Moreover, a-priori-SNR computation is also incorporated for
coefficient updation and noise presence estimation which operates similar to
the conventional VAD. However, conventional VAD scheme is based on the
hard threshold which is not capable to derive satisfactory performance and a
soft-decision based threshold is developed for improving the performance of
speech enhancement. An extensive simulation study is carried out using
MATLAB simulation tool on NOIZEUS speech database and a comparative
study is presented where proposed approach is proved better in comparison
with existing technique.
Previous research work has highlighted that neuro-signals of Alzheimer’s disease patients are least complex and have low synchronization as compared to that of healthy and normal subjects. The changes in EEG signals of Alzheimer’s subjects start at early stage but are not clinically observed and detected. To detect these abnormalities, three synchrony measures and wavelet-based features have been computed and studied on experimental database. After computing these synchrony measures and wavelet features, it is observed that Phase Synchrony and Coherence based features are able to distinguish between Alzheimer’s disease patients and healthy subjects. Support Vector Machine classifier is used for classification giving 94% accuracy on experimental database used. Combining, these synchrony features and other such relevant features can yield a reliable system for diagnosing the Alzheimer’s disease.
Attenuation correction designed for PET/MR hybrid imaging frameworks along with portion making arrangements used for MR-based radiation treatment remain testing because of lacking high-energy photon weakening data. We present a new method so as to uses the learned nonlinear neighborhood descriptors also highlight coordinating toward foresee pseudo-CT pictures starting T1w along with T2w MRI information. The nonlinear neighborhood descriptors are acquired through anticipating the direct descriptors interested in the nonlinear high-dimensional space utilizing an unequivocal constituent guide also low-position guess through regulated complex regularization. The nearby neighbors of every near descriptor inside the data MR pictures are looked during an obliged spatial extent of the MR pictures among the training dataset. By that point, the pseudo-CT patches are evaluated through k-closest neighbor relapse. The planned procedure designed for pseudo-CT forecast is quantitatively broke downward on top of a dataset comprising of coordinated mind MRI along with CT pictures on or after 13 subjects.
The cognitive radio prototype performance is to alleviate the scarcity of spectral resources for wireless communication through intelligent sensing and quick resource allocation techniques. Secondary users (SU’s) actively obtain the spectrum access opportunity by supporting primary users (PU’s) in cognitive radio networks (CRNs). In present generation, spectrum access is endowed through cooperative communication-based link-level frame-based cooperative (LLC) principle. In this SUs independently act as conveyors for PUs to achieve spectrum access opportunities. Unfortunately, this LLC approach cannot fully exploit spectrum access opportunities to enhance the throughput of CRNs and fails to motivate PUs to join the spectrum sharing processes. Therefore, to overcome this con, network level cooperative (NLC) principle was used, where SUs are integrated mutually to collaborate with PUs session by session, instead of frame based cooperation for spectrum access opportunities. NLC approach has justified the challenges facing in LLC approach. In this paper we make a survey of some models that have been proposed to tackle the problem of LLC. We show the relevant aspects of each model, in order to characterize the parameters that we should take in account to achieve a spectrum access opportunity.
In this paper, the author provides insights and lessons that can be learned from colleagues at American universities about their online education experiences. The literature review and previous studies of online educations gains are explored and summarized in this research. Emerging trends in online education are discussed in detail, and strategies to implement these trends are explained. The author provides several tools and strategies that enable universities to ensure the quality of online education. At the end of this research paper, the researcher provides examples from Arab universities who have successfully implemented online education and expanded their impact on the society. This research provides a strategy and a model that can be used by universities in the Middle East as a roadmap to implement online education in their regions.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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total number of combinations. This reduction is accomplished by the elimination of all dominated services,
and keeping dominant ones, where we say that one service is dominated by another, if at least one of its
qualities is small than another service.
In this paper, we have focused our work on using an agent-based method, in order to search and
perform compositions between two Skylines services, where each Skyline contains the dominant candidate
services of a class. The role of agents is to generate a new Skyline by the generation of a partial composition
from two previous classes, and keeping just the dominant compositions, and removing the rest of the service
candidates. The method consist to repeat the same operation between the partial created composition, and the
following class until the end of the composition, to obtain finally a Skyline includes the instances of the
optimal combinations of the main composition.
2. QOS-BASED COMPOSITION PROCESS
A service class is defined by a set of web services that provide the same functionality, but they have
probably different non-functional characteristics (different values of QoS). In our work we will consider a
cloud computing in which, different web services are deployed, and that contain a classification of services
according to their functional characteristics (class of services), also a description of non-functional
characteristics for each service (Qos). This description of functional and non-functional services are stored
and published in a service registry (UDDI), which is accessible via the web, and meet customer needs for
simple web services and composition services. Our objective is to create a process in the cloud using system
agent to be able to satisfy customer’s composition requests.
2.1. QoS parameters
The quality of service parameters is a set of non-functional quantitative characteristics, which
determines and describes the performance of a web service. These parameters can include various attributes,
like price, reputation, availability, reliability, response time, bandwidth, throughput, etc. All these previous
parameters can be evaluated with real positive or negative values. For positive parameters, service customers
should search to maximize them, such as reputation and availability, and for negative parameters, its need to
be minimized such as cost and response time. For better presentation we will work just with negative
parameters, for the positive parameters, they will be transformed into negative by multiplying their values by
-1. We suppose the vector Qs = {q1 (s), ..., qn (s)} to represent Qos values of web service S, and qi(s)
determines the values of the i-th attribute of the service S.
2.2. QoS calculation for composite services
The QoS parameters for composite services or composition are calculated based on the QoS
parameters of its component services. Considering C = {S1, S2, ..., Sn} as a composition of the following
web services: {S1, S2, ..., Sn}, the quality of composition C is defined as Q(C) = {q1 (C), q2 (C),…, qn (C)},
where qi(C) is estimated value of i-th attribute, and which can be calculated using an aggregation function.
This function aims to aggregate the values of corresponding Qos attributes of all component services. Usual
aggregation functions for QoS calculation are summation, multiplication, and minimization function [1]. The
Table 1 give an example of some QoS attributes and its aggregation function.
Table 1. Examples of QoS aggregation functions
Type Attributes Functions
Summation
Response time,
Price
q(C) = ∑
Reputation q(C) = ∑
Multiplication Availability q(C) = ∏
Minimum Throughput q(C) = min q(Si)
2.2. Problem statement
QoS-based service composition is a problem, which aims at finding the service combination that
maximizes the QoS values of a composition.
The simple method for finding the optimal combination is to use an exhaustive search, to generate
and compare all possible combinations of candidate web services. For an example composition request with
N classes and M services per class, there exist NM
possible combinations to compare. Therefore, the cost of
performing an exhaustive search can be very expensive in terms of computation time and memory
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occupation, needed to store all generated combination. Consequently, Exhaustive search method is
inappropriate for run-time service composition in systems with dynamic needs [1]. In the following section,
we will propose a solution for this problem, based on the selection and composition of web services, using
dominance relationship between candidate services in each service class, to select skyline services. The
proposed solution use the multi agent paradigm.
3. SKYLINE AND MULTI-AGENT SYSTEM FOR QOS-BASED COMPOSITION
The purpose of QoS-based composition is to select a set of services, one from each class of services,
in such a way that the quality of the selected combination be maximized. Namely that, the selection of the
optimal candidate service from each class, does not provide necessarily an optimal composition. Therefore,
to find the correct solution, other combinations of services need to be considered. On the other hand, we
should mention that not all services are potential candidates to generate the solution. Consequently, the idea
of our method is to use the skyline method to distinguish between the candidate services for a given
composition, and not potential ones for each class. The skyline is a method that aim to reduce the search
space of a given set of elements, by using the dominance relations between services based on QoS values, to
identify and eliminate services that are dominated by other services in the same class [1]. A service A is said
dominated by another service B, if B is better than or equal to A in all attributes, and B is strictly better in at
least one Qos attribute.
Definition [1]. (Dominance) Consider a service class S, and two services X, Y ∈ S, characterized by
a set of Q of QoS attributes. X dominates y, denoted as X ≺ Y, if X is as good
or better than Y in all parameters in Q and better in at least one parameter in Q, ∀k ∈ [1, |Q|] : qk(X) ≤ qk(Y)
and ∃k ∈ [1, |Q|] : qk(X) < qk(Y).
Definition [1]. (Skyline Services) The skyline services of a service class S, comprise those services
in S that are not dominated by any other service, {x ∈ S|¬∃y ∈ S: y ≺ x}.
Figure 1. Measuring the Distance to the Skyline
Figure 1 shows an example of application of the Skyline method for a given class, taking into
consideration two Qos parameters to evaluate each service, cost and execution time. Each point of the graph
represents a candidate service, with the coordinates of a point corresponding to the values of those
parameters. Using the method of skyline allowing to reduce the optimal services by distinguish dominant and
dominated services, the dominant candidate services in blue color, and the services dominated in orange
color. Taking the example of A, B, C and D services, we see that B, C and D all dominated by the service A,
because all Qos Attributes of service A, are betters (less) than Qos attributes of other services. Taking the
case of services E and A, we can observe that service A is better than E on price, but it is inferior than E on
execution time attribute, in this case we said that the services E and A are incomparable services, and both
belongs to the optimal skyline services.
3.1. Simple Skyline composition
The idea of the Simple Skyline Composition SSC method is to take advantage of reducing the
number of candidate services to be considered in composition, by using the Skyline method on each
composite class. After eliminating of dominated services, the SSC performs an exhaustive search to generate
all possible combination just from the optimal skyline services, before performing again a Skyline query on
price
Execution time
d’execution
A
B C
D
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generated combinations to get the optimal skyline services as illustrated in figure 1. This method aims at
accelerate the composition, also ensuring the ability of application to find the optimal composition, just
among the selected service candidates.
Figure 2. Example of composition of 3 service classes
Figure 3. Example of services represented by two quality attributes
Consider the example of Figure 2, where a composition request is processed, with three composite
service classes A, B and C, and described by two QoS parameters Price and Execution time. Figure 3
represent the result of first step of execution of SSC algorithm. The SSC performs a skyline request on each
service class of composition, to reduce the number of candidate services to combined, represented in blue
color. Comparing the number of candidate combinations to generate in each case, we find that SSC algorithm
generate 4*5*5=100 candidate combinations. On the other hand, to perform an exhaustive search without
SSC we must generate 13*14*14=2584 combinations.
Figure 4. Measuring the Distance to the Skyline
The second step of SSC algorithm is performing a new skyline query on the generated combinations,
to select finally the best and optimal skyline compositions. Each blue points in figure 4, represents an optimal
composition, composed from three services belongs A, B and C service classes. The Simple Skyline
Composition is a simple method aims to performing exhaustive search on a reduce space of services, and
maintain the same set of optimal combinations.
Service
Class A
Service
Class B
Service
Class C
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Algorithm 1: Simple Skyline Composition
Input: a set of service classes Comp.
Output: a set of optimal services So.
1: for all Cls ∈ Comp do
2: Ssky.add( Skyline(Cls))
3: end for
4: So = Ssky .pop()
5: for all c ∈ Ssky do
6: So = combine(So, c)
7: end for
8: So = Skyline(So)
3.2. Improved Skyline composition
In order to improve the performance of the previous algorithm of composition. We propose a
method of composition based on skylines selection and agent system paradigm, in such a way that, the
application of skyline will be performed after each combination of two service classes, and the result of this
skyline set, will be combined again with the following class of composition. These two operations of binary
composition and skyline reduction must be repeated until the last service class of the global composition
figure 5. This approach reduce more and more the total number of candidate combinations, and at the same
time, it keep the same results of the preceding algorithms.
Figure 5. Global presentation of improved skyline composition
Figure 6. Example of application of improved skyline composition
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To implement our approach, we propose an algorithm based on the notion of system agents, to
benefit from their capabilities in terms of synchronization of tasks and parallelism. This implementation
requires the definition of two functionalities, the binary combination and skyline reduction, using an agent-
oriented architecture. In this context, two agents has been proposed to accomplish these tasks: composition
agent and control agent. Figure 7 and 8 show an overall working diagram and an activity diagram, which
indicates the tasks and activities performed by each agent.
Figure 7. demonstration of reduction and binary composition in a composition process
The idea of the approach is to take advantage of the collective intelligent of system agents to resolve
this composition problem. At the first step, a set of initial composition agents generated, where each agent is
according to one concrete service of the first service class of composition. A composition agent can be
initialized with a vector of QoS attributes of a corresponding web service or with the vector QoS of a partial
composition. After the creation of all agents of first class, they send an ACL messages with their vector of
qualities to the control agent. After receiving all messages, the control agent triggers the process of reduction,
by applying the Skyline algorithm on the received data (QoS attributes) to distinguish the dominant and
dominated agents. In order to reduce the candidates agents, the control agent send an Agree message to
dominant agents and a Cancel message to others. When a composition agent receives an Agree message
from the control agent, the agent starts operation of reproduction. This operation aims to create a new set of
composition agents, corresponding to the services of the following service class, where each new agent
initialized with the Qos vector of a web service of following class, and the Qos vector of its creator agent. To
calculate his own Qos Vector, a composition agent use aggregation functions to calculate new Qos attributes,
from the Qos Vector of its own service, and the Qos vector of its own creator agent. After the creation of all
new composition agents of the following class, the creator composition agent stops its execution. In the case
where the composition agent receiving a Cancel message, the agent stops its execution. Once all composition
agents of old generation have stopped their execution, the new composition agents starts the communication
with the control agent by sending again their Qos vector. Those operations of reduction and reproduction
repeated until arriving at the last service class of composition. The dominant composition agents remained at
last represents the solution of service composition. The description of composition agent and control agents
can be summarized as follows:
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Figure 8. Activity diagram of composition and control agents
Control agent: is the component responsible for communication with all compositions agents. Its
role consists on calculating of dominance relationship, and generating of skyline services, based on the
messages received from current composition agents. This operation aims to determine the composition agents
to be eliminated or to be preserved for the next level composition, or to determine the global optimal
composition.
Composition Agent: is the component that contains the QoS vector of a service or of a partial
composition. Its role is to send a message contains the QoS vector to the control agent, and consequently
based on received decision from the controller, the composition terminate its execution, or reproduce other
composition agents with the service qualities of the following classes, before similarly completing its
execution.
Algorithm 2 describe the different behaviors of the control agent from initialization until the last step
and returning the optimal result. It take as input a set of service classes of composition C= {c1, c2, c3…},
where each entry ci denotes a set of services that belongs to the i-th service class. It use also an integer
variable I to preserve the current level of composition.
Algorithm 2: Control Agent algorithm
Input: a set of service classes of a composition: C.
Output: optimal combinations of the composition C: Cop
1: nb_agent = size(C[I])
2: while (i < nb_agent)
3: Q.add(receive())
3: i++
4: end while
5: Qop = Skyline (Q)
6: while (i < nb_agent)
3: for q in Qop
7: if (q == Q[i])
8: Send (Q.get(i).getSender(), AGREE)
/* sending an AGREE message to dominant agents */
9: Q.remove(i)
10: End if
11: end for
12: end while
13: for each q in Q
Send (q.getSender(), CANCEL)
/* sending a CANCEL message to dominated agents */
14: end for
15: return Qop
Algorithm 3 define the behaviors of the composition agents, knowing that during execution of a
composition, several composition agents can be generated in function of the number of classes, and number
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of services in each class. On the contrary, one instance of control agent is generated during an execution. A
composition Agent take as input a Qos vector of one web service Q, or a Qos of a partial composition. The
Qos of partial composition is calculated in the beginning of its life cycle, by using aggregation function
between Qos vector of its creator agent Q_1, and the Qos of the associated service Q.
Algorithm 3: Composition agent algorithm
Input: Qos vector of a service: Q, Qos vector of control agent: Q_1, identity of control agent: AgC, set of
service classes of the composition: C, the current level of composition to which the correspond service
belongs: I.
1: if (I>0)
2: Q=U(Q, Q_1) // calculate new Qos attributes of partial composition with aggregation functions
U
3: end if
4: send(AgC ,Q) // send a message with Vector Qos to control agent
5: Msg=receive(AgC) // receive controller response
6: if (Msg == AGREE)
7: for each S in C[I+1]
8: createCompositionAgent(S.getQualite(), Q, I+1) // create a new composition
agent
9: end for
10: stop() // terminate the execution
11: else if (Msg == CANCEL)
12: stop()
13: end If
4. EXPERIMENTAL EVALUATION
In this section, we present an experimental evaluation of our improved skyline composition
approach, in terms of the quantity of candidate combinations to be calculated and generated, also in terms of
execution time required to reach the optimal solution.
Our experience is performed using a set of web services generated with random quality attributes.
These services are identified by two abstract parameters of Qos to minimized, and which take random values
between 1 and 50. In the evaluation, we have initialized our program by a given composition with 15 service
classes, where each class contains 20 generated services, which means that we have a total of 1520
candidate
combinations for this experimental composition. The following figures 10 and 11 represent the variation of
the execution time, and of the number of generated combinations as a function of the numbers of the classes
and services of the composition. The displayed values represents the average of 10 executions of the
algorithm, with the same parameters (number of classes and services), and with different values of services.
We implemented the improved skyline composition algorithm described previously in Java, and
using JADE platform as a multi-agent system, to implement our system composition and control agents. The
experiments were conducted on a Sony laptop machine with an Intel core i5 2.40GHz CPU and 8 GB RAM.
We measured the average execution time and candidate composition generated, required by
algorithm for solving the given random composition, defining the number of candidate services by 20
services per class, and 15 classes par composition. The results of this experiment are presented in figure 10
and 11.
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187
Figure 10: Measuring the variation of number of compositions
Figure 11: Measuring the variation of execution time for a composition
5. CONCLUSION
In this paper, we propose a method to solve the problem of composition based on the qualities of the
services, using the Skyline method and the agent-oriented architecture. The proposed method perform by
using Skyline method, which aim to reduce the number of services to be combined and generated, based on
domination relationship between candidate services. On the other hand, to increase performance and speed of
algorithm, we decide to use the paradigm of system agents to take advantage of its collective and intelligence
behaviors to decompose and solve easily the composition problem. To implement the composition method
we use a multi-agent system as platform for our program, which contains two types of agents, one for to
perform the composition process, and another one to control and the orchestration composition operations.
Our experiments have shown that the performance of our method can be useful for composition with a very
large quantity of candidate combinations, and which cannot be solved with simple exhaustive search. Finally,
using agent paradigm and skyline method can reduce the execution time, also optimize the memory taken for
storing data of all these combinations.
REFERENCES
[1] M. Alrifai; D. Skoutas; T. Risse, “Selecting Skyline Services for QoS-based Web Service Composition”, Raleigh
NC USA, pp.11-20, 2010.
[2] M. Alrifai; T. Risse. “Combining global optimization with local selection for efficient qos-aware service
composition”, In WWW, pp.881-890, 2009.
[3] D. Skoutas; D. Sacharidis, “A. Simitsis, and T. Sellis. Serving the sky: Discovering and selecting semantic web
services through dynamic skyline queries”, International Conference on Semantic Computing, pp.222-229, 2008.
[4] Benouaret; D. Benslimane; A. Hadjali, “On the Use of Fuzzy Dominance for Computing Service Skyline Based on
QoS”. In the 9th International Conference on Web Services (IEEE ICWS 2011).
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Numberofgenerated
combination
numbre of classes
0
5000
10000
15000
20000
25000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Executiontimeinms
numbre of classes
10. ISSN: 2252-8776
IJECE Vol. 6, No. 3, December 2017 : 179 – 188
188
[5] Yang Yu; Jian Chen; Shangquan Lin; Ying Wang, ”A Dynamic QoS-Aware Logistics Service Composition
Algorithm Based on Social Network”, IEEE transactions on emerging topics in computing, volume 2, no. 4,
december 2014.
[6] Mike P; Papazoglou Willem-Jan van den Heuvel, “Service oriented architectures: approaches, technologies and
research issues” 3 March 2007 Springer-Verlag.
[7] G.Canfora, “An approach for QoS-aware service composition based on genetic algorithms”, Proceedings of the
2005 conference on Genetic and evolutionary computation, pp.1069-1075, 2005.
[8] Abourezk; A. Idrissi, “Introduction of an outranking method in the Cloud computing research and Selection
System based on the Skyline”, Research Challenges in Information Science (RCIS), 2014 IEEE Eighth International
Conference on. 1-12, 2014.
[9] Paolo Busetta; Massimo Zancanaro, “Open social agent architecture for distributed multimedia. In Workshop on
Agents at Work: Deployed applications”, 2nd International Joint Conference on Autonomous Agents & Multiagent
Systems (AAMAS 2003), Melbourne, Victoria, Australia, July 2003.
[10] Al-Masri E; Mahmoud QH, “QoS-based discovery and ranking of web services”, In: 16th International Conference
on Computer Communications and Networks (ICCCN 2007), pp 529–534.
[11] Börzsönyi S; Kossmann D; Stocker K, The skyline operator. In: Proceedings of the 17th international conference
on data engineering (ICDE’01), pp 421–430, 2011.
[12] S. Wang; Q Sun; H. Zou; F.Yang, “Particle Swarm Optimization with Skyline Operator for Fast Cloud-based Web
Service Composition”, Mobile Netw Appl, pp. 116–121, 2013.
[13] T. Yu; Y. Zhang; K.-J. Lin, “Efficient algorithms for web services selection with end-to-end qos constraints”, ACM
Trans. on the Web, 1(1), 2007.
[14] M. Abourezq; A. Idrissi, “Introduction of an outranking method in the Cloud Computing Research and Selection
System based on the Skyline,”, 28-30 May 2014.
[15] Kang; K. M. Sim, "Cloudle An Agent-based Cloud Search Engine that Consults a Cloud Ontology", Cloud
Computing and Virtualization Conference, 2010.
[16] A. Idrissi; M. Abourezq, "Skyline in Cloud Computing", Journal of Theoretical and Applied Information
Technology, Vol. 60, No. 3, February 2014.
[17] C. Zeng, X. Guo, W. Ou and D. Han, Cloud Computing Service Composition and Search Based on Semantic,
Cloud Computing, Vol. 5931, pp. 290-300, 2009.