- Cloud Computing characteristics - Service models - Deployment models - Building blocks - Benefits - Risks - Migrating applications to cloud

1. Ganesan Balasubramanian

2. Definition
 Model for enabling ubiquitous, convenient, on-demand
network access to a shared pool of configurable computing
resources (e.g., networks, servers, storage, applications, and
services) that can be rapidly provisioned and released with
minimal management effort or service provider interaction.
- NIST definition
 Cloud infrastructure is the collection of hardware and software

3. From 1970s
 Origin
 Mainframes in the 1970s provided facilities like payroll automation
 Very high utilization rates
 Problems of Mainframes
 Too Costly
 Era ended when cheaper Microprocessors were introduced
 Grid Computing
 Pooling of computing resources for a common goal
 Virtual Super Computer
 Used for Climate modeling, drug discovery, CERN and SETI

4. Characteristics
 On-demand self-service
 Server-time and Storage can be provisioned without manual intervention by provider
 Broad Network access
 Accessible over the network by mobiles, tablets, laptops
 Resource pooling
 Customer has no knowledge of location of resources provided
 Resources assigned based on customer demand
 Elasticity
 Capabilities are provisioned based on demand.
 Appears infinite to the customer
 Measured service
 Resource usage can be monitored, controlled and reported
 Provides transparency

5. Service Models
 SaaS (Software as a Service)
 Provides software to the consumer for use residing in a cloud infrastructure
 User does not manage Network, Servers, Operating Systems, Storage
 Accessible through variety of devices like tablets, mobiles, laptops
 Reduces TCO for the consumer. No software development
 Providers
 Hotmail, Gmail, Yahoo Mail
 Facebook
 SalesForce.com

6. Service Models
 PaaS (Platform as a Service)
 Consumer creates applications and deploys on the cloud
 Consumer can only use programming languages, libraries and tools supported
 Consumer does not manage Network, Servers, Operating Systems, Storage
 No need to maintain hardware and software
 Languages like C++, C#, Java, Python and PHP are supported
 Providers
 Google App Engine
 Windows Azure

7. Service Models
 IaaS (Infrastructure as a Service)
 Consumer can provision processing, storage, networks, and other fundamental
computing resources and deploy and run arbitrary software
 Consumer manages Servers, Operating Systems, Storage
 No need to maintain hardware and software. Use virtualization to obtain these.
 Providers
 Amazon Elastic Cloud Compute

8. Deployment Models
 Public Cloud
 Open use by public
 Owned by Businesses, Government
 Private Cloud
 For exclusive use of an organization that has multiple business units
 Can be Owned and operated by the organization or a third party
 Community Cloud
 For exclusive use by organizations that share concerns like Military or Regulatory related
 Owned and operated by one of the organizations that is part of the community or a third party
 Hybrid Cloud
 Combination of the above
 Shares common or proprietary technology that enables the portability

9. Building Blocks
 Data Center
 Facility that hosts computers, communication equipment
 Virtualization
 It is a virtual computer that resides within another physical computer
 Efficient utilization of resources
 Vendors include VMWare, Xen and Hyper-V
 Multi-tenancy
 Single instance of software services multiple clients
 Load Balancing
 Incoming traffic must be distributed to available servers
 Security, Privacy
 Includes transmission and storage

10. Benefits
 Agility ( Faster to market)
 Pay only for what you use
 Reduced maintenance costs
 Reduces unused computing capacity
 Infinite bandwidth

11. Challenges and Risks
 Delegation of maintenance to third parties
 Increased data security risks
 Risk of vendor business failure
 Risk of vendor lock in
 Legal and regulatory issues
 Fault tolerance and disaster recovery
 Data Centers consume lots of electricity and affect the
environment

12. To migrate applications to Cloud
 Make a list of Operating Systems, programming languages and databases that we
use for development
 Public or Private or Hybrid?
 Check with vendors if they support our list
 Does the vendor provide great machines for clients?
 Memory
 CPU
 Hark Disk
 Bandwidth
 Are there any regulatory requirements that we need to look for?
 SLA – Does it meet our needs?

13. Thanks
 If you found the presentation useful, please send an email
to
ganesanb at gmail dot com