The document discusses cloud computing and its deployment models. It defines cloud computing according to NIST and Gartner and explains its characteristics including grid computing, virtualization, utility computing, and autonomic computing. It describes private, public, and hybrid cloud deployment models and provides examples. The document also discusses establishing cloud control through developing strategies and standards. It outlines reasons to consider and avoid adopting cloud computing.

1. NATIONAL CONFERENCE
ON
ADVANCEMENT AND CHALLENGES
IN TECHNOLOGY AND MANAGEMENT - 2011
(NCACTM 2011)
Cloud Computing:
Establishing an Efficient Cloud
By:
Abhishek Soni Ashwin Singh Tomar
Department of Computer Science, Department of Information Technology
Jagadguru Dattatray College of Technology Jagadguru Dattatray College of Technology

2. Agenda
Introduction
Cloud Deployment Models
Cloud Computing Maturity Model
Ways to Establish Cloud Control
Reasons To Consider Adapting Cloud
Computing
Reasons To Consider Avoiding Cloud
Computing
Conclusion

3. Introduction
Description
Gartner’s Definition
Acc. To NIST

4. Description
Computing paradigm.
A large pool of systems are connected in private or public networks.
Provide dynamically scalable platform.
Practical approach to experience direct cost benefits.
Potential to transform a data center from a capital – intensive set up
to a variable priced environment.
Based on a very fundamental principal of „reusability of IT
capabilities‟.

5. Gartner’s Definition
“A style of computing where massively
scalable IT – enabled capabilities are
delivered „as a service‟ to external
customers using the Internet technologies.”

6. According To NIST
National Institute of Standards and Technology
Cloud computing is a model for enabling
convenient, on – demand network access to a
shared pool of configuring resources that can be
rapidly provisioned and released with minimal
management effort or service provider interaction.
Characteristics of Cloud Computing:
Grid Computing
Virtualization
Utility computing
Autonomic Computing

7. Grid Computing
A network of computers that are utilized to gain large
supercomputing type computing resources
Using this network of computers large and complex
computing operations can be performed.
In grid computing these networks of computers may
be present in different locations.

8. Virtualization
Virtualization is a framework or methodology of dividing the
resources of a computer into multiple execution environments.
We may use hardware or software partitioning, time sharing, partial or complete machine
simulation, emulation, quality of service and many others concepts and technologies.
Forms the foundation of cloud computing.
Accessing resources in abstract from.
Reduces server utilization in data center upto 10%.

9. Utility Computing
Pay-per-use Model
Similar to utility services like electricity grid.
Billing changes according to requirements of the organization.
Helps in reducing initial investment.

10. Autonomic Computing
An initiative started by IBM in 2001. Autonomic means “self-managing”
computers.
Computers can correct themselves automatically.
Analogous to human biological system.
Goal is for computing infrastructure to self-correct itself in unforeseen
situations.

11. How Cloud Computing Works?
To get cloud computing to work, you need three things: thin clients, grid
computing, and utility computing.
Grid computing links disparate computers to form one large infrastructure,
harnessing unused resources.
Utility computing is paying for what you use on shared servers like you pay
for a public utility.

12. Cloud vs. Traditional Computing

13. Cloud Deployment Models
Private Clouds
Public Clouds
Hybrid And Other Clouds

14. Private Cloud
When an organization deploys on its
own premises, on its own infrastructure,
and for its own use.
On – premise
Externally Hosted

15. Private Cloud’s Example

16. Public Cloud
services are made available to the general
public or a large industry group and are owned
by an organization selling cloud services.
Cloud offerings
Infrastructure as a Service (IaaS)
Platform as a Service (PaaS)
Software as a Service (SaaS)

17. Public Cloud’s Example

18. Hybrid And Other Cloud Models
Hybrid Model
Cloud Bursting
Community Clouds
Hybrid Cloud Offerings

19. Hybrid Cloud’s Example

20. Cloud Computing Maturity Model
Provides Framework for Implementation
Real Time
Event Driven
Consolidation Virtualization Automation Utility Liberation
Infrastructure Process Service
Automation Automation Automation

21. Cloud Computing Maturity Model (contd.)

22. Cloud Computing Maturity Model (contd.)

23. Ways To establish Cloud Control
Acc. To Jeff Kaplan from
THINKstrategis
“uncontrolled use of cloud services may actually
cost more than using better-planned resources.”
Set up clear
guidelines &
Develop a cloud- Establish the role Don’t start from Don’t wait to
standards to
first strategy. of Data Architect. scratch. integrate.
select the cloud
solution.

24. Reasons To Consider Adapting
Cloud Computing
Reduced Cost.
Increased Storage.
Highly Automated.
Flexibility.
More Mobility.
Allows IT to Shift Focus.
Built-in Disaster Recovery & Back-up Sites.
Device & Location Independence.
It’s Greener.

25. Reasons To Consider Avoiding
Cloud Computing
Security.
Data Location & Privacy.
Internet Dependency, Performance & Latency.
Availability & Service Levels.

26. Conclusion
There is still a lot of
It is a trend that is not
hype surrounding Cloud
going to go away.
Computing.
Effective establishment
can resolves the growing
needs of the industry
and its consumers.

27. References
gtsi® White Paper: Cloud Computing
Building a Framework for Successful Transition
ThinkGrid White Paper: Introduction to cloud computing
http://en.wikipedia.org/wiki/Cloud%Computing

28. Queries