ABSTRACT
Grid Computing is basically A form of networking .Unlike conventional networks that focus on communication among devices, grid computing harnesses unused processing cycles of all computers in a network for solving problems too intensive for any stand-alone machine. The last decade has seen a substantial increase in commodity computer and network performance, mainly as a result of faster hardware and more sophisticated software. Nevertheless, there are still problems, in the fields of science, engineering, and business, which cannot be effectively dealt with using the current generation of supercomputers. In fact, due to their size and complexity, these problems are often very numerically and/or data intensive and consequently require a variety of heterogeneous resources that are not available on a single machine.
This new approach is known by several names, such as metacomputing , scalable computing, global computing, Internet computing , and more recently peer-to-peer or Grid computing. Grid Computing is a parallel processing architecture in which CPU resources are shared across a network, and all machines function as one large supercomputer. It allows unused CPU capacity in all participating machines to be allocated to one application that is extremely computation intensive and programmed for parallel processing.
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