GRID COMPUTING VS CLOUD COMPUTING

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GRID COMPUTING VS CLOUD COMPUTING

Here is the comparision between grid and cloud computing:--
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PARAMETERS / KEY DIFFERENCE
GRID COMPUTING
CLOUD COMPUTING
  1. DEFINITION

Grid Computing Consists Of A Large Number Of Computers Which Are Connected Parallel And Forms A Computer Cluster. This Combination Of Connected Computers Uses To Solve A Complex Problem.

Cloud Computing Is Nothing But The Delivery Of Computing Services Such As A Database, Networking, Software, Storage, Servers, And Many More.
  1. BASIC DIFFERENCE

Grid Computing Incorporates Systems In Different Locations Through Wan

Cloud Computing Is Used To Define A New Class Of Computing Based On Network Technology. It Has Integrated And Networked Hardware And Software.
  1. AIM /GOAL/MAIN FOCUS

Grid Computing Focuses On Networks And Hence Has A Large-Scale Goal. It Focuses On Resource Sharing, Pervasive, Uniform, And Reliable Access To Data, Storage Capacity And Computation Power. It Also Focuses On Delivering A Computer As A Utility.

Cloud Computing Mainly Focuses On Reducing Costs And Increase Returns. It Also Has A Goal Of Increasing Scalability Along With Increased Availability And Reliability.
  1. RESOURCE DISTRIBUTION

Decentralized Model

Centralized Model
  1. TYPES

Grid  Computing Has Following Types:
  • Distributed Computing Systems
  • Distributed Information Systems
  • Distributed Pervasive Systems

Cloud Computing Has  Following Types:
  • Public Clouds
  • Private Clouds
  • Community Clouds
  • Hybrid Clouds
  1. ARCHITECTURE

Distributed Computing

Client-Server
  1. BUSINESS MODEL

No Defined Business Model

Pay-Per-Use Model
  1. APPLICATION FOCUSSED

Collaborative Purpose Applications

Business And Web Based Applications
  1. TECHNOLOGY INVOLVED

Distributed Architecture

Computing Based On Network Technology
  1. OWNERSHIP

A Grid Is A Collection Of Computers Which Is Owned By Multiple Parties In Multiple Locations And Connected Together So That Users Can Share The Combined Power Of Resources.

Cloud Is A Collection Of Computers Usually Owned By A Single Party.
  1. SERVICE ACCESSIBILITY

Low

High
  1. EXAMPLES

Future Grid.

Amazon Web Services (AWS), Google App Engine.
  1. FLEXIBILITY

Low

High
  1. SERVICES

Schedule Services

Real-Time Services

  1. PROGRAMMING MODELS

Different Middlewares Are Available Such As Globus Glite, Unicore, Etc.

Eucalyptus, Open Nebula, Open Stack Etc, For IAAS But No Middleware Exists.
  1. ORIENTED

Application Oriented

Service Oriented
  1. ACCESSIBILITY

Accessed By Corporate Network

Easily Accessed BNo table of figures entries found.y Internet
18.   TERMINOLOGY

Grid Acts As A Distributed System For Collaborative Sharing Of Resources

Computing Based On Virtualized Resources Which Are Located Over Multiple Locations In Clusters.

19.                COMMUNITY

Grid Involves More Resources Than Just Computers And Networks. 

Involves A Common Group Of System Administrators That Manage The Entire Domain.

20.RESOURCE REQUIREMENT

More

Less

21.   COMPLEX

More

Less

22.     CAPABILITY

Handle Limited Jobs

Any Type Of Job

23.     DATA SECURITY

Less

More

  1. INTEROPERABILITY

Easily Deals With Interoperability Between Providers.

Vendor Lock-In And Integration Are Some Issues

  1. COST

High

Low

  1. NEED OF HARDWARE & SOFTWARE

More

Less

  1. RESOURCES

Handle Single Resource

Virtualized resources

  1. PROBLEM RESOLVING

Uses Job Scheduling

Grouping Resources And Requires The Basis From The Cluster Of Servers.

  1. LOCATION

Grid Computing Is A Distributed System Where The Resources Are Distributed At Different Locations And Can Be Located From Different Sites.

The Computing Resources Manage Within A Single Location Which Locates At A Different Place.

  1. STORAGE

Access  Additional Resources To Store Data

Backup And Restores The Data With The  Fast Data Processors

  1. SPACE

Computer Space Is Saved

On Cloud

  1. UPDATES

No Automatic.

Automatic.

  1. EFFICIENT

Less Efficient

More Efficient

  1. DEPENDENCY

Grid Computing Works Even If A Can Solve Larger, More
Complex Problems  In A
Shorter Time

Totally Dependent On The Internet Through The Data Center.

  1. ADVANTAGES

  • Access To Additional
  • Resources 

  • Cost Efficient
  • Backup And Recovery
  • Versatile

  1. DISADVANTAGES

  • High Internet
  • Connection Required 
  • Different

Administrator
Domains

  • Technical Issues
  • Internet Required
  • Less Reliability

  1. IMAGES








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