Grid computing is a processor architecture that combines computer resources from various domains to reach a main objective. In grid computing, the computers on the network can work on a task together, thus functioning as a supercomputer.
Typically, a grid works on various tasks within a network, but it is also capable of working on specialized applications. It is designed to solve problems that are too big for a supercomputer while maintaining the flexibility to process numerous smaller problems. Computing grids deliver a multiuser infrastructure that accommodates the discontinuous demands of large information processing.
Grid computing is heterogeneous.
As from above diagram let's take one example.If you have one small company in one place,you have client machines and servers to keep your company's work data,if your Company grows and you have to expand your company so that you started branch on another city with client machines and servers.If you wanted your company work as one organisation you have to connect your all branches to each other so that you can access your work data from anywhere.Connecting servers to each others to work as one system is called as "GRID COMPUTING".
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