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Grid Computing

Grid computing is defined as the collection of computer resources from multiple administrative domains to solve a complex problem, for example, drug discovery, seismic analysis, economic predictions, back office data processing, etc. Carl Kesselman, Ian Foster and Steve Tuecke are widely regarded as the "Fathers of the Grid”. The trio established the idea of grid computing in the early 1990s. The Globus Toolkit, which is an open source toolkit for grid computing, created by them incorporates grids for computation management, storage management, data processing, etc. In a grid computing model, computers running independent tasks are loosely connected, either directly or via scheduling systems, to perform large tasks. One computer plays the key role in distributing information and tasks to a group of networked computers. 

Generally, a grid works as a distributed system on diversified tasks within a network. It is designed to handle a large number of files and solve big problems that a supercomputer might not be able to. As compared to traditional high-performance computing systems, for example, cluster computing, grid computers have each node - combined with two neighbors along one or more dimensions - independent of others and set to perform different tasks or applications.

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