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Definitions[]

Grid computing

involves a group of computers, in either the same location or spread over a number of locations, that are networked together (e.g., via the Internet or a local network).[1]
uses available processing capacity across a grid of processors. Workload balancing allows high availability and parallel processing of the analytics algorithms. This arrangement is well-suited to applications in which multiple parallel computations can take place independently, without the need to communicate intermediate results between processors.[2]

Overview[]

Grid computing divides a computer program among numerous computers. It can be confined to a single entity’s computer network or involve collaboration among many entities or networks. Grids tend to be loosely coupled, heterogeneous, geographically dispersed and composed of general purpose software and middleware.

References[]

  1. House of Representatives, Committee on Science, "Supercomputing: Is the United States on the Right Path" (Hearing Transcript), at 5-6 (2003) (full-text).
  2. Australian Public Service Better Practice Guide for Big Data, at 11.
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