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IEEE 2016 PROJECTS ANDROID

 
 
Grid Computing:
DEFINITION
»
Grid computing is the collection of heterogeneous computing resources dispersed geographically to reach a common goal. Grid is composed of many networked loosely coupled systems acting together to perform large tasks.
 
INTRODUCTION
»
Grid computing is a computing model which involves several computers to a single problem at the same time.
 
»
A Grid computer is the multiple numbers of same computers clustered together.
 
»
It allows flexible resource sharing among geographically distributed computing resources in multiple domains to solve a single task.
 
» It is basically used for grid applications rich in graphics and multimedia.
   
» Grid computing is a processor architecture that combines computer resources from various domains to reach a main objective.
   
» In this computing model, the computers on the network can work on a task together, thus functioning as a supercomputer.
   
 
Block Diagram
ieee 2013 final year projects
ieee 2013 final year projects
Data Grid:
 

A data grid is an architecture or set of services that gives individual/group of users the ability to access, modify and transfer extremely large amount of geographically distributed data for research purposes.

  • It handles large distributed data sets used for data management and controlled user sharing.
  • It creates a virtual environment for dispersed and organized research.
ieee 2013 final year projects
   
Features:
 
  • Computers are spread but connected in the form of a network.
  • Less chances of failure of whole system.
  • This strategy helps to develop a virtual supercomputer system within an organization.
  • Data grid is another system is used where data is managed under various schema.
  • Can solve larger, more complex problems in a shorter time.
  • Easier to collaborate with other organizations.
  • Make better use of existing hardware
  • Enable recovery and failure
  • Ability to run large-scale applications comprising thousands of computes, for wide range of applications.
  • Reduces signal latency – the delay that builds up as data are transmitted over the Internet.
Real Time Examples:
 
  • The main real-time application of the grid computing model is the Automatic Teller Machine (ATM) concept that’s being used by almost every bank to cash the customer against their corresponding ATM Cards.
  • GARUDA is India’s Grid Computing initiative which spans across 17 cities in the country. The IIT’s Centre for Development of Advanced Computing (C-DAC’s) and many other major institutes are the participant’s of this scheme which is pioneered for research purposes.
   
 
 
 
 
 
 
   
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