Grid Computing
The Grid has the potential to fundamentally change the way science and engineering are done. Aggregate power of computing resources connected by networks—of the Grid— exceeds that of any single supercomputer by many orders of magnitude. At the same time, our ability to carry out computations of the scale and level of detail required, for example, to study the Universe, or simulate a rocket engine, are severely constrained by available computing power. Hence, such applications should be one of the main driving forces behind the development of Grid computing.
Grid computing is emerging as a new environment for solving difficult problems. Linear and nonlinear optimization problems can be computationally expensive. The resource access and management is one of the most important key factors for grid computing. It requires a mechanism with automatically making decisions ability to support computing tasks collaborating and scheduling.
Grid computing is an active research area which promises to provide a flexible infrastructure for complex, dynamic and distributed resource sharing and sophisticated problem solving environments. The Grid is not only a low level infrastructure for supporting computation, but can also facilitate and enable information and knowledge sharing at the higher semantic levels, to support knowledge integration and dissemination.
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