Grid computing increases the throughput of a networked system. Various heterogeneous but networked resources across administrative boundaries can be modeled into virtual computer architecture for resource sharing. The concept of grid computing is to solve complex computational problems that can not be solved by the limited resources of a single computer or group of computers within an organization.
It is apparent from the above figure that networking technologies are more rapidly than microprocessor technology. There is always a large chunk of processing power that remains underutilized in many computer clusters. Advancement in networking technology can logically be used to club all these underutilized resources thus solving the crunch of processing power in some computing clusters and considerably reducing the processing cost.
Software complexity has been rapidly increasing in the last four decades and it has reached such a level that it became difficult to deal with. With this, the need for swiftness in response to the business requirement is also increasing. IT industry has been through various computing architectures of distributed processing for better resource utilization. This led to the evolution of various programming languages running on different platforms and a number of networking products. However, full resource integration is still very complex due to multiple development platforms.
Service Oriented Architecture (SOA) is now considered as the next big leap in computational architecture which may help the IT industry to meet complex future needs.
The concept of SOA has been in development for a long time.

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