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4. 1. Introduction of Cloud Computing
2. Types of cloud Computing
3. Cloud Service Providers
4. Benefits & Drawbacks of Cloud Computing
5. Comparison of Cloud Computing
6. Q & A
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5. 1- History why it get started
2- Concept through definition
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6. “A model for delivering information technology services in
which resources are retrieved from the internet through web-
based tools and applications, rather than a direct connection to
a server. Data and software packages are stored in servers. “
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7. Image Source: cordis.europa.eu/fp7/ict/ssai/docs/cloud-report-final.pdf 7

8. 1. Private Clouds:
 Security and Control
 Control of flexibility
 Reduce the Risk
 Use in one Organization
 Highly secured and more efficient
 Handling critical data
 Use for medical reports and credit cards
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9. 2. Public Clouds:
 Offer high level of efficiency
 Network, Resources and Expenses
are shared among users
 Low cost is incurred
 Elasticity is high
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10. 3. Hybrid Clouding:
Combination of Private and Public
 Flexible and secure
 Scalability of public cloud
 Each cloud offer distinctive
advantages
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11. 4. Community Clouds:
 Cross- boundary infrastructure
 Dedicated resource infrastructure
 Small enterprises use it to pool their
resources
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12. 1. Infrastructure as a Service (IaaS)
2. Platform as a Service (PaaS)
3. Software as a Service (SaaS)
4. Hardware as a Service (HaaS)
5. Database as a Service (DaaS)
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13. 1. Infrastructure as a Service:
 Refer to as resource cloud
 Managed and scalable service as a user
 Provide enhanced virtualization
capabilities
 Weighing resource usage with access requirements
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14. Example:
i. Amazon S3
ii. SQL Azure
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15. 2. Platform as a Service:
 Provide computational resources via platform
 Application and services can be developed
and hosted
 Makes use of dedicated API’s
Attempt to extend generic programming
models (MS Azure)
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16. Examples:
i. Force.com
ii. Google App Engine
iii. Windows Azure (Platform)
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17. 3. Software as a Service:
 Referred to as application cloud
 Implementation of specific business
functions and business processes
 Provide applications / services using
a cloud infrastructure or platform
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18. Examples:
i. Google Docs
ii. Sales force CRM
iii. SAP Business by Design
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19. 4. Hardware as a Service:
 Service level agreement
 Computer hardware
 Network
 Internet connectivity
 Platform virtualization environment
 Utility computing billing
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20. Example:
i. Desktop/ Laptop
ii. Network Infrastructure
iii. Storage
iv. VoIP
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21. 4. Database as a Service:
 To avoid complexity on database
 Reduce cost of running your own database
 Data validation to ensure accurate information
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22. Example:
i. MS SQL
ii. Oracle
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23. Cost
Flexible
Speed & Scale
Dependency
(Loss of
Control)
Security
Integration
Cost effective
Multiple Users
at One Time
No Equipment
to Purchase
Web
Reliability
Sharing of
Resources 23

24. CLUSTER COMPUTING GRID COMPUTING CLOUD COMPUTING
Tightly coupled system
Single system image
Loosely coupled (Decentralized)
Diversity & Dynamism
Dynamic computing infrastructure
IT service centric approach
Centralized job management &
scheduling system
Distributed job management &
scheduling
Self service based usage model
Bunch of similar computers
hooked up locally to operate as
single computer
Computers do not have to be in the
same physical location and can be
operated independently.
Minimally or self managed
platform
Consumption based billing
All computers have same
hardware and OS
Computers that are part of Grid
can run different OS and have
different hardware.
The Memory, Storage device and
network communication are
managed by the OS of the physical
cloud limits.
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25. CLUSTER COMPUTING GRID COMPUTING CLOUD COMPUTING
The whole system behave like a
single system view.
Every node is autonomous i.e. it
has its own resource manager and
behave like an independent entity.
LINUX can support the basic
physical unit management and
virtualization computing.
Computers in the cluster are
normally contained in a single
location or complex.
Grid are inherently distributed by
its nature over a LAN or WAN.
Every node act as an independent
entity.
More than 2 computers are
connected to solve a problem.
A large project is divided among
multiple computers to make use of
their resources.
Clouds are mainly distributed over
MAN. It allows multiple smaller
application to run at the same time.
Areas of Cluster Computing:
1. Educational resources
2. Medical Research
Areas of Grid Computing:
1. Predictive Modeling and
Simulation
2. Engineering design and
automation
3. Energy Resources exploration
4. Medical, Military and Basic
Research
5. Visualization
Areas of Cloud Computing:
1. Banking
2. Insurance
3. Weather Forecasting
4. Space Exploration
5. SaaS
6. PaaS
7. IaaS 25

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27. Questions & Answers
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28. References:
Available on Demand.
Qasimraza555@gmail.com
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