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Cloud Computing

By :-T. Mur@li sankaran
INTRODUCTION
 Cloud computing is a marketing term for technology
 End - user do not require any knowledge regarding
system
 Users can access and use facilities through a web
browser
What is Cloud Computing?
 Cloud computing is used to describe a variety
of different types of computing concepts that
involve a large number of computers
connected through a real-time
communication network
 cloud computing is the delivery
of computing as a service rather than
a product
What is Cloud Computing?
 Utility computing
 Platform
 Cloud
Do you Use the Cloud?
Cloud Computing Characteristics
Common Characteristics:
Massive Scale
Massive Scale

Resilient Computing
Resilient Computing

Homogeneity
Homogeneity

Geographic Distribution
Geographic Distribution

Virtualization
Virtualization

Service Orientation
Service Orientation

Low Cost Software
Low Cost Software

Advanced Security
Advanced Security

Essential Characteristics:
On Demand Self-Service
On Demand Self-Service
Broad Network Access
Broad Network Access
Resource Pooling
Resource Pooling

6

Rapid Elasticity
Rapid Elasticity
Measured Service
Measured Service
Cloud Architecture

7
Service Models

1

Infrastructure as
a Service (IaaS)

In this architecture
you're buying
access to raw
computing
hardware over the
Net, such as servers
or storage.

2

Software as a
Service (SaaS)

In this architecture
you use a complete
application
running on
someone else's
system

3

Platform as a
Service (PaaS)

In this you develop
applications using
Web-based tools
so they run on
systems software
and hardware
provided by
another company.
IaaS Examples
SaaS Examples
PaaS Examples
Deployment Models
 Private cloud
 Public cloud
 Community cloud
 Hybrid cloud
 Personal cloud
 Distributed cloud
Types Of Cloud
Advantages
Can be less expensive compared to buying
software and hardware
Can be used from any computer or device
with an Internet connection
The device does not need as large of an
internal storage system
Compatible with most computers and
operating systems
Updates occur across the service
Disadvantages
•
•
•
•
•
•
•

Manageability
Privacy & Security
Data Management
Federation
Interoperability
Virtualization, Elasticity and Adaptability
APIs, Programming Models & Resource
Control
Disadvantage
s

Advantages
CONCLUSION
• CLOUD COMPUTING IS THE FASTEST
GROWING PART OF IT
• TREMENDOUS BENEFITS TO CUSTOMERS OF
ALL SIZE
• CLOUD SERVICES ARE SIMPLER TO AQUIRE
• PUBLIC AND PRIVATE CLOUDS MAY BE USED
IN COMBINATION
bye

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cloud computing

  • 1. Cloud Computing By :-T. Mur@li sankaran
  • 2. INTRODUCTION  Cloud computing is a marketing term for technology  End - user do not require any knowledge regarding system  Users can access and use facilities through a web browser
  • 3. What is Cloud Computing?  Cloud computing is used to describe a variety of different types of computing concepts that involve a large number of computers connected through a real-time communication network  cloud computing is the delivery of computing as a service rather than a product
  • 4. What is Cloud Computing?  Utility computing  Platform  Cloud
  • 5. Do you Use the Cloud?
  • 6. Cloud Computing Characteristics Common Characteristics: Massive Scale Massive Scale Resilient Computing Resilient Computing Homogeneity Homogeneity Geographic Distribution Geographic Distribution Virtualization Virtualization Service Orientation Service Orientation Low Cost Software Low Cost Software Advanced Security Advanced Security Essential Characteristics: On Demand Self-Service On Demand Self-Service Broad Network Access Broad Network Access Resource Pooling Resource Pooling 6 Rapid Elasticity Rapid Elasticity Measured Service Measured Service
  • 8. Service Models 1 Infrastructure as a Service (IaaS) In this architecture you're buying access to raw computing hardware over the Net, such as servers or storage. 2 Software as a Service (SaaS) In this architecture you use a complete application running on someone else's system 3 Platform as a Service (PaaS) In this you develop applications using Web-based tools so they run on systems software and hardware provided by another company.
  • 12. Deployment Models  Private cloud  Public cloud  Community cloud  Hybrid cloud  Personal cloud  Distributed cloud
  • 14. Advantages Can be less expensive compared to buying software and hardware Can be used from any computer or device with an Internet connection The device does not need as large of an internal storage system Compatible with most computers and operating systems Updates occur across the service
  • 15. Disadvantages • • • • • • • Manageability Privacy & Security Data Management Federation Interoperability Virtualization, Elasticity and Adaptability APIs, Programming Models & Resource Control
  • 17. CONCLUSION • CLOUD COMPUTING IS THE FASTEST GROWING PART OF IT • TREMENDOUS BENEFITS TO CUSTOMERS OF ALL SIZE • CLOUD SERVICES ARE SIMPLER TO AQUIRE • PUBLIC AND PRIVATE CLOUDS MAY BE USED IN COMBINATION
  • 18. bye

Editor's Notes

  1. Take the poll Have you used the cloud For one, two, three, or more of these services
  2. 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).