This document defines cloud computing and discusses its key technologies. It begins by defining cloud computing as the delivery of computing resources over a network. It then explains the three main cloud computing models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also discusses cloud computing types, related technologies like virtualization, and the pros and cons of cloud computing.

1. CLOUD COMPUTING
TECHNOLOGY
SUBMITTED BY
Manpreet Kaur
1209197
B.Tech.(C.S.E.) 7th Semester

2. Overview
 Cloud computing definition
 Cloud computing definition
 Cloud computing technology
 Cloud computing technology
 Cloud computing types
 Cloud computing types
 Cloud computing’s brother buzzwords
 Cloud computing’s brother buzzwords
 Pros and Cons of cloud computing
 Pros and Cons of cloud computing

3. Cloud computing definition
 Cloud computing is the use of computing resources
(hardware and software) that are delivered as a service
over a network (typically the Internet).

4. Cloud Computing Technology
 Cloud computing is a technology based on Internet system that provides
remote data centers to manage information services and applications.
 Cloud computing allows individual users and companies administer files,
information and applications without installing specific software on their
computers just having Internet access.

5. Cloud computing providers offer their services according to
three fundamental models:
 Infrastructure as a service (IaaS)
 platform as a service (PaaS)
 software as a service (SaaS)
where IaaS is the most basic and each higher model
abstracts from the details of the lower models.

7. Infrastructure as a service (IaaS)
 In this most basic cloud service model, cloud
providers offer computers, as physical or more often
as virtual machines, and other resources.
 IaaS refers not to a machine that does all the work, but
simply to a facility given to businesses that offers
users the leverage of extra storage space in servers
and data centers.
 Examples are: Amazon Cloud Formation , Rackspace
Cloud, Terremark and Google Compute Engine.

8. Platform as a service (PaaS)
 In the PaaS model, cloud providers deliver a
computing platform typically including operating
system, programming language execution
environment, database, and web server.
 Examples are: Amazon Elastic Beanstalk, Heroku,
EngineYard, Mendix, Google App Engine, Microsoft
Azure and OrangeScape

9. Software as a service (SaaS)
 In this model, cloud providers install and operate
application software in the cloud and cloud users
access the software from cloud clients.
 It is common to refer to special types of cloud based
application software with a similar naming convention:
desktop as a service, business process as a service,
test environment as a service, communication as a
service.
 Examples are: Google Apps, innkeypos, Quickbooks
Online, Limelight Video Platform, Salesforce.com and
Microsoft Office 365.

10. Cloud computing impact
 As a result, cloud computing has the potential to
upend the software industry entirely, as applications
are purchased, licensed and run over the network
instead of a user's desktop.

11. Cloud computing types
 Public cloud
 Community cloud
 Hybrid cloud
 Private cloud

12. Cloud computing’s brother
buzzwords
 Cloud computing is becoming one of the next industry buzz
words. And it has more or less relation with these words:
 Grid computing
 Distributed computing
 Utility computing
 Virtualization
 Computer cluster.

13. Grid computing
 Grid computing is a term for either of two broad subcategories of
distributed computing:
 Online computation or storage offered as a service supported by a
pool of distributed computing resources, also known as utility
computing, on-demand computing, or cloud computing.
 The creation of a "virtual supercomputer" composed of a network of
loosely-coupled computers, acting in concert to perform very large
tasks and it is used in commercial enterprises for such diverse
applications as drug discovery , e-commerce and web services.

14. Distributed Computing
 In distributed computing ， a program is split up into parts that run
simultaneously on multiple computers communicating over a network.
 Distributed computing is a form of parallel computing, but parallel
computing is most commonly used to describe program parts running
simultaneously on multiple processors in the same computer .

15.  Utility computing is a business model of providing computing
 .
resource ， user get and use the computing resource from service
provider and pay for practically used resource. To say it simply, it is a
price model based on resource usage quantity.
 The main benefit of utility computing is better economics

16. Comparison of Utility Computing
and Cloud Computing
 Utility computing is a business model, it is a type of price model to
deliver application infrastructure resource.
 Cloud computing is a computing model, relates to the way we design,
build, deploy and run applications that operate in a sharing resources
and boasting the ability to dynamically grow, shrink and self-heal.
Cloud computing
Utility computing
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17. Virtualization
o Virtualization is a broad term that refers to the abstraction of
computer resources.
o Virtualization hides the physical characteristics of computing
resources from their users whether applications, or end users.
o Virtualization technology is a aggregative term of technical means
and methods to implement virtualization.
o It can be divided to many types based on objects: storage
virtualization, computing virtualization, network virtualization.

18. Computer cluster
A computer cluster is a group of coupled computers that work together
closely so that in many respects they can be viewed as though they are a
single computer.
Clusters are usually deployed to improve performance and/or availability over
that provided by a single computer, while typically being much more cost-
effective than single computers of comparable speed or availability .

19. Pros of cloud computing
 Cost Efficient
 Almost Unlimited Storage
 Backup and Recovery
 Automatic Software Integration
 Easy Access to Information
 Quick Deployment

20. Cons of cloud computing
 Technical Issues
 Prone to Attack
 Possible downtime
 Security issues
 Cost
 Inflexibility
 Lack of support