CLOUD COMPUTING VS CLUSTER COMPUTING VS GRID COMPUTING

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CLOUD COMPUTING VS CLUSTER COMPUTING VS GRID COMPUTING


Cloud Computing :

 Cloud Computing Provides Hardware, Software And Other Infrastructure Resources Over The Internet.
fig credit :visionhub123.blogspot.com 


 Grid Computing :

 Grid Computing is a processor architecture that combines computer resources from various domains to reach a main objective. In grid computing, the computers on the network can work on a task together, thus functioning as a supercomputer.


fig credit :visionhub123.blogspot.com

Cluster Computing :

Cluster Computing is the form of computing in which a group of computers are linked together , so they act like Entity.It is the technique of linking two or more computers into a network .



fig credit :visionhub123.blogspot.com



PARAMETERS
CLUSTER COMPUTING
GRID COMPUTING
CLOUD COMPUTING
Definitions
In cluster computing, a bunch of similar (or identical) computers are hooked up locally (in the same physical
Location, directly connected with very high speed connections) to operate as a
Single computer
In grid computing, the computers do not have to be in the same physical location and can be operated independently. As far as
Other computers are concerned each computer on the grid is a
Distinct computer.
In cloud computing, the computers need not to be in the same physical
Location.
Characteristics
Characteristics of Cluster computing
  • Tightly coupled systems
  • Single system image
  • Centralized Job management & scheduling system
Characteristics of Grid Computing
  • Loosely coupled (Decentralization)
  • Diversity and Dynamism
  • 3: Distributed Job Management & scheduling
Characteristic of cloud computing
  • Dynamic computing infrastructure
  • IT service-centric approach
  • Self-service based usage model
  • Minimally or self-managed platform
  • Consumption-based billing
Area
 Educational resources , Commercial sectors for
Industrial promotion
 , Medical research
Predictive Modeling and Simulations ,
Engineering Design , Automation , Energy Resources Exploration
,Medical, Military , Research
 , Visualization
Banking , Insurance , Weather Forecasting ,
Space Exploration , Software as a service ,
Paas
 , Infrastructure- as -a-Service
Computers needed
Commodity computers
High-end computers (servers, clusters)
Commodity computers and high-end servers
Scalability and size
Size or scalability is 100s
Size or scalability is 1000s
Size or scalability is 100s to 1000s
Ownership
Single Ownership
Multiple Ownership
Single Ownership
System image
Single system image
No single system image
Yes, but optionally include Single system image
Pricing
Limited pricing of services but not open market
Pricing of services is dominated by public good or privately
 Assigned
Utility pricing, discounted for larger customers
Potential
Potential for building 3rd party or value-added solutions is limited due to
Rigid architecture
Potential for building 3rd party or value-added solutions is limited due to strong orientation for
Scientific Computing
High potential - can create new services by dynamically provisioning
Of compute, storage, and application services and offer as their own isolated
Or composite Cloud services to users
Capacity
Stable and guarantee capacity
Varies, but high capacity
Provisioned on demand capacity
Failure management
Failure management (Self-healing) is limited (often failed tasks/applications are restarted
Failure management (Self-healing) is limited (often failed tasks/applications are restarted).
Strong support for fail over and content
Replication. Vms can be easily
Migrated from one node to other.
Images








fig credit :visionhub123.blogspot.com
























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