Services and Network Administration
Presented by : Supervisor :
Hamza BEN TAHER Arafat BOUSSAID
Fakhreddine KHEZAMI
Jihed KAOUECH

Contents
Introduction
What is Cloud Computing ?
History
Cloud Computing infrastructure models
Service Models
Advantages and disadvantage of cloud computing
Conclusion

Contents
Introduction
What is Cloud Computing ?
History
Cloud Computing infrastructure models
Service Models
Advantages and disadvantage of cloud computing
Conclusion

Introduction
 Computer costs (human and financial) account a large
value of the budget of a company.
 In response to this problem appeared to Cloud Computing.
 Today Cloud Computing has many advantages and
appears to be an attractive solution.
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Contents
Introduction
What is Cloud Computing ?
History
Cloud Computing infrastructure models
Service Models
Advantages and disadvantage of cloud computing
Conclusion

What is cloud computing ?
 The cloud is simply a metaphor for the internet, based on the symbol
used to represent the worldwide network in computer network
diagrams.
 Cloud Computing refers to the many different types of services and
applications being delivered in the internet cloud, and the fact that, in
many cases, the devices used to access these services and applications
do not require any special applications.
 Its purpose is to push companies to externalize the digital
resources virtual which they store.
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Contents
Introduction
What is cloud computing ?
Cloud Computing ?
History
Cloud Computing infrastructure models
Service Models
Advantages and disadvantage of cloud computing
Conclusion

Historic
1960
 The concept was born from the ideas of pioneers like Joseph Carl
Robnett Licklider and John McCarthy.
 Some of the first uses included the processing of financial transactions
and census data.
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Historic
1960 1971
- The term “cloud computing” was first used by information systems professor
Ramnath Chellappa
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Historic
1960 1971 …
- Companies began switching from hardware to cloud services because they
were attracted to benefits like a reduction in capital costs as well as an
easing in IT staffing issues.
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History
1999 2002 2006 2009
• Arrival of Salesforce.com
• Pioneered the concept of delivering enterprise applications via a simple
website.
• The services firm paved the way for both specialist and mainstream software
firms to deliver applications over the internet.
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History
1999 2002 2006 2009
• Arrival of Salesforce.com
• Amazon Web Services
• Pioneered a suite of cloud-based services including storage, computation and
• Provide the concept of delivering enterprise applications via a simple
website.
even human intelligence through the Amazon Mechanical Turk
• The services firm paved the way for both specialist and mainstream software
firms to deliver applications over the internet.
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History
1999 2002 2006 2009
• Arrival of Salesforce.com
• Amazon Web Services
launched its Elastic Compute cloud (EC2) as a commercial web
service
• Pioneered a suite of cloud-based services including storage, computation and
• Provide the concept of delivering enterprise applications via a simple
• Allows
website. small companiesthrough the Amazon Mechanical Turk which to run
even human intelligence and individuals to rent computers on
their own computer applications.
• The services firm paved the way for both specialist and mainstream software
firms to deliver applications over the internet.
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History
1999 2002 2006 2009
• Arrival of Salesforce.com
• Amazon Web Services
Web 2.0 launched ,its Elastic Compute cloud (EC2) as a commercial web
, Google …
service
• Pioneered a suite of cloud-based services including storage, computation and
• Provide the concept of delivering enterprise applications via a simple
Browser-based enterprise applications.
• Allows
website. small companiesthrough the Amazon Mechanical Turk which to run
even human intelligence and individuals to rent computers on
• Services (Google Apps)
their own computer applications.
• The services firm paved the way for both specialist and mainstream software
firms to deliver applications over the internet.
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Contents
Introduction
What is cloud computing ?
History
Cloud Computing infrastructure models
Service Models
Advantages and disadvantage of cloud computing
Conclusion

Cloud Computing
infrastructure models
IT organizations can choose to deploy applications on public, private, or hybrid
clouds, each of which has its trade-offs. The terms public, private, and hybrid do
not dictate location. While public clouds are typically “out there” on the Internet
and private clouds are typically located on premises.
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Cloud Computing
infrastructure models
A public cloud provides services to multiple customers, and is typically deployed at
a collocation facility.
Public clouds are most often hosted away from customer premises, and they
provide a way to reduce customer risk and cost by providing a flexible, even
temporary extension to enterprise infrastructure.
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Cloud Computing
infrastructure models
Private clouds may be hosted at a collocation facility or in an enterprise datacenter.
They may be supported by the company, by a cloud provider, or by a third party
such as an outsourcing firm.
This model gives companies a high level of control over the use of cloud resources
while bringing in the expertise needed to establish and operate the environment.
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Cloud Computing
infrastructure models
Hybrid clouds combine both public and private cloud models, and they can be
particularly effective when both types of cloud are located in the same facility.
Hybrid clouds introduce the complexity of determining how to distribute applications
across both a public and private cloud. Among the issues that need to be considered is
the relationship between data and processing resources. If the data is small, or the
application is stateless, a hybrid cloud can be much more successful than if large
amounts of data must be transferred into a public cloud for a small amount of
processing.
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Contents
Introduction
What is cloud computing ?
History
Cloud Computing infrastructure models
Service Models
Advantages and disadvantage of cloud computing
Conclusion

Service Models
Cloud infrastructure services, also known as
"infrastructure as a service" (IaaS), deliver
computer infrastructure – typically a platform
virtualization environment – as a service
Infrastructure
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Service Models
Cloud platform services, also known
as platform as a service (PaaS), deliver
a computing platform and/or solution
stack as a service
Platform
Infrastructure
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Service Models
Cloud application services or "Software as a
Service (SaaS)" deliver software as a
service over the Internet
Application
Platform
Infrastructure
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Service Models
 Software as a Service (SaaS) is a software distribution model in which
applications are hosted by a vendor or service provider and made available to
customers over a network, typically the Internet.
 the SaaS vendor owns the software and runs it on computers in its data
center. The customer does not own the software but rents it.
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Service Models
 Automatic updates and patch management.
 Compatibility: All users will have the same version of software.
 Easier collaboration.
Eliminate the need to install and run the application on the customer's
own computers.
 No direct control of the data.
 Internet connection required.
 Security awareness.
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Service Models
 Google Apps
 salesforce.com
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Service Models
 Platform as a Service (PaaS) is a way to rent hardware, operating
systems, storage and network capacity over the Internet. The service delivery
model allows the customer to rent virtualized servers and associated services
for running existing applications or developing and testing new ones without
the cost and complexity of buying and managing the underlying
software/hardware.
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Service Models
 Platform as a Service (PaaS) is an outgrowth of Software as a Service (SaaS), a
software distribution model in which hosted software applications are made
available to customers over the Internet. PaaS has several advantages for
developers. With PaaS, operating system features can be changed and upgraded
frequently. Geographically distributed development teams can work together
on software development projects.
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Service Models
 Services can be obtained from diverse sources that cross international
boundaries. Initial and ongoing costs can be reduced by the use of
infrastructure services from a single vendor rather than maintaining multiple
hardware facilities that often perform duplicate functions or suffer from
incompatibility problems. Overall expenses can also be minimized by
unification of programming development efforts.
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Service Models
 Maintenance paid by the provider (no update to think).
 Access to the platform through a Web browser.
 Greatly reduced development time (using modules ...).
 Developing real time (as and when enabling modules).
 The application does not belong to the client company.
 Relative availability (Difficult to predict the sudden load increases).
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Service Models
 Google App Engine
 Heroku
 Mosso
 Engine Yard
 Joyent or Force.com (Sales Force Dev Platform)
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Service Models
 It's a platform virtualization environment as a service. It permits to provide
treatment, storage, network sand other basic resources, offering customers the
possibility to deploy and run software of their choice.
 Characteristics and components of IaaS include :
 Utility computing service and billing model.
 Automation of administrative tasks.
 Dynamic scaling.
 Desktop virtualization.
 Policy-based services.
 Internet connectivity.
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Service Models App App App
OS OS OS
Hypervisor
Hardware
Virtualized Stack
Virtual workspace
 An abstraction of an execution environment that can be made dynamically available to
authorized clients by using well-defined protocols.
 Resource quota (e.g. CPU, memory share).
 Software configuration (e.g. O/S, provided services).
Implement on Virtual Machine (VMs)
 An abstraction of an execution environment that can be made dynamically available to
authorized clients by using well-defined protocols.
 Abstraction of a physical host machine,
 Hypervisor intercepts and emulates instructions from VMs, and allows management of VMs,
 VMWare, Xen, etc.
Provide infrastructure API
 Plug-ins to hardware/support structures.
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Service Models
Advantages of virtual machines
 Run operating systems where the physical hardware is unavailable,
 Easier to create new machines, backup machines, etc.,
 Software testing using “clean” installs of operating systems and software,
 Emulate more machines than are physically available,
 Timeshare lightly loaded systems on one host,
 Debug problems (suspend and resume the problem machine),
 Easy migration of virtual machines (shutdown needed or not).
 Run legacy systems!
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Service Models
Advantages
 Run operating systems where the physical hardware is unavailable,
 Less constraints related to architecture (choice, purchase, maintenance,
scalability,...). Everything is the responsibility of the provider.
 Dematerialization: in case of degradation of response time, it is possible to pass
dynamically on a more powerful server.
 Opportunity to change providers.
 Solution less expensive (more profitable to rent virtual servers) Other gains generated: air
conditioning, electricity ... Possibility to manage large volumes of data
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Service Models
Disadvantages
 Confidentiality of data.
 No More access to data in case of failure of the link.
 Resistance to change: adaptation, mutation and loss of some job titles in the company
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Service Models
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Contents
Introduction
What is cloud computing ?
History
Cloud Computing infrastructure models
Service Models
Advantages and disadvantage of cloud computing
Conclusion

Advantages and disadvantages
of cloud computing
– You do not need a high-powered and high-priced computer to run cloud
computing's web-based applications.
– Since applications run in the cloud, not on the desktop PC, your desktop PC
does not need the processing power or hard disk space demanded by traditional
desktop software.
– When you are using web-based applications, your PC can be less expensive,
with a smaller hard disk, less memory, more efficient processor...
– In fact, your PC in this scenario does not even need a CD or DVD drive, as no
software programs have to be loaded and no document files need to be saved.
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Advantages and disadvantages
of cloud computing
– 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…
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Advantages and disadvantages
of cloud computing
– With few large programs hogging your computer's memory, you will see better
performance from your PC.
– Instead of purchasing expensive software applications, you can get most of
what you need for free-ish!
– That is right - most cloud computing applications today, such as the Google
Docs suite, are totally free.
– That is a lot better than paying $200+ for similar Microsoft Office software -
which alone may be justification for switching to cloud applications.
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Advantages and disadvantages
of cloud computing
– Another advantage to cloud computing is that you are no longer faced with
choosing between obsolete software and high upgrade costs.
– When the application is web-based, updates happen automatically - available
the next time you log into the cloud.
– When you access a web-based application, you get the latest version - without
needing to pay for or download an upgrade.
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Advantages and disadvantages
of cloud computing
– You do not have to worry about the documents you create on your machine
being compatible with other users' applications or operating systems.
– Where Word 2007 documents cannot be opened on a computer running Word
2003, all documents can be read!
– There are potentially no format incompatibilities when everyone is sharing
documents and applications in the cloud.
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Advantages and disadvantages
of cloud computing
– Cloud computing offers virtually limitless storage.
– Your computer's current 200 Gbyte hard drive is small compared to the
hundreds of Pbytes available in the cloud.
– Whatever you need to store, you can.
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Advantages and disadvantages
of cloud computing
– Unlike desktop computing, in which if a hard disk crashes and destroy all your
valuable data, a computer crashing in the cloud should not affect the storage of
your data.
– That also means that if your personal computer crashes, all your data is still out
there in the cloud, still accessible.
– In a world where few individual desktop PC users back up their data on a
regular basis, cloud computing is a data-safe computing platform!
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Advantages and disadvantages
of cloud computing
– 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.
– All your documents are instantly available from wherever you are.
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Advantages and disadvantages
of cloud computing
– Another document-related advantage of cloud computing is that when you edit
a document at home, that edited version is what you see when you access the
document at work.
– The cloud always hosts the latest version of your documents; as long as you are
connected, you are not in danger of having an outdated version.
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Advantages and disadvantages
of cloud computing
– Sharing documents leads directly to better collaboration.
– Many users do this as it is an important advantages of cloud computing
multiple users can collaborate easily on documents and projects.
– Because the documents are hosted in the cloud, not on individual computers, all
you need is an Internet connection, and you are collaborating.
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Advantages and disadvantages
of cloud computing
– You are no longer tethered to a single computer or network.
– Changes to computers, applications and documents follow you through the
cloud.
– Move to a portable device, and your applications and documents are still
available.
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Advantages and disadvantages
of cloud computing
– Cloud computing is impossible if you cannot connect to the Internet.
– Since you use the Internet to connect to both your applications and
documents, if you do not have an Internet connection you cannot access
anything, even your own documents.
– A dead Internet connection means no work and in areas where Internet
connections are few or inherently unreliable, this could be a deal-breaker.
– When you are offline, cloud computing simply does not work.
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Advantages and disadvantages
of cloud computing
– Similarly, a low-speed Internet connection, such as that found with dial-up
services, makes cloud computing painful at best and often impossible.
– Web-based applications require a lot of bandwidth to download, as do large
documents.
– If you are labouring with a low-speed dial-up connection, it might take
seemingly forever just to change from page to page in a document, let alone to
launch a feature-rich cloud service.
– In other words, cloud computing is not for the broadband-impaired!
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Advantages and disadvantages
of cloud computing
– Even with a fast connection, web-based applications can sometimes be slower
than accessing a similar software program on your desktop PC.
– Everything about the program, from the interface to the current document, has
to be sent back and forth from your computer to the computers in the cloud.
– If the cloud servers happen to be backed up at that moment, or if the Internet is
having a slow day, you would not get the instantaneous access you might
expect from desktop applications.
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Advantages and disadvantages
of cloud computing
– This situation is bound to change, but today many web-based applications
simply are not as full-featured as their desktop-based applications.
– For example, you can do a lot more with Microsoft PowerPoint than with
Google Presentation's web-based offering.
– The basics are similar, but the cloud application lacks many of PowerPoint's
advanced features.
– If you are a power user, you might not want to leap into cloud computing just
yet.
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Advantages and disadvantages
of cloud computing
– With cloud computing, all your data is stored on the cloud.
– The questions is How secure is the cloud?
– Can unauthorized users gain access to your confidential data?
– Cloud computing companies say that data is secure, but it is too early to be
completely sure of that.
– Only time will tell if your data is secure in the cloud.
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Advantages and disadvantages
of cloud computing
– Theoretically, data stored in the cloud is safe, replicated across multiple
machines.
– But on the off chance that your data goes missing, you have no physical or
local backup.
– Put simply, relying on the cloud puts you at risk if the cloud lets you down.
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Contents
Introduction
What is cloud computing ?
History
Cloud Computing infrastructure models
Service Models
Advantages and disadvantage of cloud computing
Conclusion