Grid computing can be defined as the application of the resources of multiple computers in a network to a single out problem at the same time - typically to a methodical or technical problem that entails a great number of computer processing cycles or access to large amounts of data. A well-known illustration of grid computing in the public domain is the continuing SETI (Search for Extraterrestrial Intelligence) @Home project in which innumerable individuals are sharing the unexploited processor cycles of their personal computers in the enormous search for signs of ""coherent"" signals from external space.
Grid computing involves the usage of the software that can clearly segment and assign fragments of a program to as many as users as possible (i.e. computers). Grid computing can be assumed to be a disseminated and extensive cluster computing and as a form of network-distributed parallel processing. It can be narrowed to the network of computer workstations either within an organization or it can be a public association (wherein it is also defined as a form of peer-to-peer computing).
It seems to be a favorable trend all because of three main reasons. They are as discussed below:
- Its capability to make more cost-effective usage of a specified number of computer resources,
- In a way, we can say that it resolves the main problem that can't be loomed without the consumption of huge amount of computing power, and
- Since it advocates that the resources of many computers can be compliantly and possibly synergistically harnessed and handled as an alliance toward a common goal.