Grid Computing

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Definition: Grid Computing

Grid Computing, also called as Computational Grid, is the process of interconnecting number of computers to access large number of data and use resources(like RAM, Disk drives, Processing cycles) in order to solve a technical or scientific problem which may involve long computational tasks.

Grid computing is used by several organizations for load balancing, hence removing the problem of overloading. Grids which are made up of general-purpose grid middleware software libraries, is slightly different from cluster computing as grids tend to be more loosely coupled, and geographically dispersed. In Grid Computing, computers are connected by conventional network interface like Ethernet.

Features of Grid Computing

  • Cost efficient use of the available computer resources (better than Super Computing)
  • Performs large computational tasks without getting overloaded
  • Synergistically harnesses computer resources in completely automated way


Applications of Grid Computing

  • Used for intensive defense, academic, scientific research applications
  • Used for drug discovery, seismic analysis and back office support for ecommerce businesses



One of the best example of Grid Computing is ongoing SFEI (Search for Extraterrestrial Intelligence). Presently it is carried in public domain, where thousands of people are sharing their computational cycles in order to find any rational signals from outer space.

Hence, this concludes the definition of Grid Computing along with its overview.

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