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Cloud computing

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Cloud computing

  1. 1. BY : ARAR Fahem g01 Ecole Nationale Supérieure d’Informatique 1
  2. 2. OUTLINE:  Introduction  What is Cloud Computing?  History and Origins  Cloud Computing Characteristics Cloud Characteristics Cloud implementation Types  Cloud service models Service provided by Cloud Computing Why Cloud services is popular?  Why Cloud Computing? Advantages and disadvantage The future  Conclusion 2
  3. 3. INTRODUCTION 3
  4. 4. 4
  5. 5. What is Cloud Computing? “Cloud computing is a style of computing where massively scalable IT-related capabilities are provided as a service across the Internet to multiple external customers” “Cloud computing: A pool of abstracted, highly scalable, and managed infrastructure capable of hosting end-customer applications and billed by consumption” “Cloud computing is Web-based processing, whereby shared resources, software, and information are provided to computers and other devices (such as smartphones) on demand over the Internet.” 5
  6. 6. What is Cloud Computing? • Cloud Computing is a general term used to describe a new class of network based computing that takes place over the Internet  a collection/group of integrated and networked hardware, software and Internet infrastructure (called a platform).  Using the Internet for communication and transport provides hardware, software and networking services to clients  These platforms hide the complexity and details of the underlying infrastructure from users and applications by providing very simple graphical interface or API (Applications Programming Interface). 6
  7. 7. What is Cloud Computing? Cloud Computing Computing and software resources that are delivered on demand, as service.. 7
  8. 8. 8
  9. 9. History and Origins S3 Launches/EC2 Launch of Amazon web services The arrival of Salesforce.com Supercomputers/Mainframe 2006 2002 1990 1960 Google App / Azure 2008 - 2009 The first milestone for Cloud Computing Launches of Google App Engine/Windows Azure Beta 9
  10. 10. CloudComputingCharacteristics 10
  11. 11. Cloud Computing Characteristics 11 Common Characteristics: Low Cost Software Virtualization Service Orientation Advanced Security Homogeneity Massive Scale Resilient Computing Geographic Distribution Essential Characteristics: Resource Pooling Broad Network Access Rapid Elasticity Measured Service On Demand Self-Service Adopted from: Effectively and Securely Using the Cloud Computing Paradigm by peter Mell, Tim Grance
  12. 12. Essential characteristics of Cloud Computing Cloud Computing On- demand self- service Broad network access Resource pooling Rapid elasticity A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider • Capabilities can be expanded or released automatically (i.e., more cpu power, or ability to handle additional users) • To the customer this appears seamless, limitless, and responsive to their changing requirements Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations). The provider’s computing resources are pooled to serve multiple consumers Resources can be dynamically assigned and reassigned according to customer demand 12
  13. 13. Cloud implementation types 13
  14. 14. Public Cloud • Owned and managed by service provider • Made available to the general public or a large industry group 14
  15. 15. Private Cloud • Operated solely for an organization • May be managed by the organization or a third party • Limits access to enterprise and partner network • Retains high degree of control, privacy and security 15
  16. 16. Hybrid Cloud • Composition of two or more clouds (private, community, or public) bound together by standardized or proprietary technology that enables data and application portability 16
  17. 17. Cloudservice models 17
  18. 18. Cloud Service Layers 18
  19. 19. 19
  20. 20. Cloud Service models - Definitions • SaaS is a software delivery methodology that provides licensed multi-tenant access to software and its functions remotely as a Web-based service. Software as a Service (SaaS) • PaaS provides all of the facilities required to support the complete life cycle of building and delivering web applications and services entirely from the Internet. Platform as a Service (PaaS) • IaaS is the delivery of technology infrastructure as an on demand scalable service. Infrastructure as a Service (IaaS) 20
  21. 21. Cloud Service models - Containing Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS) Email Business Processes Industry Applications CRM/ERP/HR Middleware Database Web 2.0 Application Runtime Java RuntimeDevelopment Tooling Firewalls, load balancers Servers Networking Data Center FabricStorage 21
  22. 22. Cloud Service models - Examples Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS) 22
  23. 23. Cloud Service models - Comparison 23
  24. 24. 24 24 Where Is My Data? • Data resides on servers that the customer cannot physically access • Vendors may store data anywhere at lowest cost if not restrained by agreement
  25. 25. Why cloud service is popular?  Reduce the complexity of networks.  Do not have to buy software licenses.  Customization.  Cloud providers that have specialized in a particular area (such as e-mail) can bring advanced services that a single company might not be able to afford or develop.  scalability, reliability, and efficiency.  Info. at cloud are not easily lost. 25
  26. 26. WhyCloudComputing? 26
  27. 27. • Reduced Hardware equipment for users • Improved Performance • Lower Hardware and Software Maintenance • Instant Software Updates • Accessibility • Pay for what we use • Security Issues • Internet connection • Features may be limited • Location of Servers • Speed 27
  28. 28. The Future • Many of the activities loosely grouped together under cloud computing have already been happening and centralised computing activity is not a new phenomena • Grid Computing was the last research-led centralised approach • However there are concerns that the mainstream adoption of cloud computing could cause many problems for users • Many new open source systems appearing that you can install and run on your local cluster 28
  29. 29. Conclusion 29
  30. 30. Conclusion Cloud Computing is the fastest growing part of network based computing . It Provides tremendous benefits to customers of all sizes: simple users, developers, enterprises and all types of organizations. 30
  31. 31. “Cloud computing is a simple idea ,but it can have huge impact on our business.” Conclusion 31
  32. 32. Thank you! BY : ARAR Fahem g01 32
  33. 33. Any Questions? 33

Notas do Editor

  • LOGO,main fuction,why,when who,what can it do simply
  • Cloud Computing is a general term used to describe a new class of network based computing that takes place over the Internet,
  • 1960 :- Supercomputers and Mainframe (massive computing was done through utility of supercomputers. The problem with this set-up arises from the cost needed to create a supercomputer or mainframe to the cost of maintaining it in optimal condition. As a result, leading to the idea of an “intergalactic computer network” by J.C.R. Licklider, who was responsible for enabling the development of ARPANET (Advanced Research Projects Agency Network) in 1969. His vision was for everyone on the globe to be interconnected and accessing programs and data at any site, from anywhere.

    Afterwards, John McCarthy who proposed the idea of computation being delivered as a public utility, similar to the service bureaus.


    1990 :- The first milestones for cloud computing (The arrival of Salesforce.com, which pioneered the concept of delivering enterprise applications via a simple website.

    July 2002 :- Launch of Amazon web services (making information available through a web service focused as a retailer, provided a suite of cloud-based services including storage, computation and human intelligence.

    March 2006 and August 2006 :- S3 and EC2 (Elastic Compute Cloud)
    - infrastructure-as-a-service provider
    - making core computing infrastructure service (Cloud infrastructure)
    - pricing model ‘pay-per-use’
    - shift of Amazon from being just a retailer to a strong player in the technology space
    - EC2 as a commercial web service that allows small companies and individuals to rent computers on which to run their own computer applications.

    April 2008 :- Launch of Google App Engine
    - first pure play technology company into the cloud computing market (browser-based enterprise applications)
    - a developer tool enables you to run your web applications on Google’s infrastructure.
    - Google App’s features
    - Dynamic web serving, persistent storage, automatic scaling and load balancing, Google API’s for authentication users and sending email
    November 2009 :- Launch of Windows Azure Beta belonged to Microsoft (the same concept as Google App)

    2010 :- Concerns about the security of their corporate data in the cloud. Security, data privacy, network performance are likely to lead to a mix of cloud computing centers both within company firewall and outside of it.
    Learn how to secure, manage and monitor the growing range of external resources residing in the cloud including the improvement of faster processors and connections.

    **Amazon Launches EC2 Transaction Based Web Hosting Platform
  • ScalabilityInfrastructure capacity allows for traffic spikes and minimizes delays.
    ResiliencyCloud providers have mirrored solutions to minimize downtime in the event of a disaster. This type of resiliency can give businesses the sustainability they need during unanticipated events.
    Homogeneity: No matter which cloud provider and architecture an organization uses, an open cloud will make it easy for them to work with other groups, even if those other groups choose different providers and architectures.
    On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider.
    Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).
    Resource pooling. Multi-tenant model.. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines.
    Rapid elasticity. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.
    Measured Service. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts).
  • Cloud Software as a Service (SaaS). The capability provided to the consumer is to use the provider’s applications running on a cloud infrastructure and accessible from various client devices through a thin client interface such as a Web browser (e.g., web-based email). The consumer does not manage or control the underlying cloud infrastructure, network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.
    Cloud Platform as a Service (PaaS). The capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created applications using programming languages and tools supported by the provider (e.g., java, python, .Net). The consumer does not manage or control the underlying cloud infrastructure, network, servers, operating systems, or storage, but the consumer has control over the deployed applications and possibly application hosting environment configurations.
    Cloud Infrastructure as a Service (IaaS). The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, deployed applications, and possibly select networking components (e.g., firewalls, load balancers).
  • Scalability means Unlimited processes and storage capacity.
  • Improved performance:
    With few large programs hogging your computer's memory, you will see better performance from your PC.
    Computers in a cloud computing system boot and run faster because they have fewer programs and processes loaded into memory…
    Universal document access:
    That is not a problem with cloud computing, because you do not take your documents with you.
    Instead, they stay in the cloud, and you can access them whenever you have a computer and an Internet connection
    Documents are instantly available from wherever you are
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