Computer Science

Grid Computing

Grid Computing

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  • About the Editor
    • Deliberate the Grid in depth, describing its immense potential and complexity from the perspective of the community of individuals working hard to transform the Grid computing vision into reality.
    • Illustrates how the novel technologies of semantic web and workflow have been integrated into the grid and grid services.
    • Enables the student not only to understand the concepts involved in grid computing but also to build their own grids for specific applications.

Today we are living in the Internet age and everyone prefers to enjoy fast access to the Internet. But because of multiple downloading, there is a chance that the system hangs up or slows down the performance that leads to the restarting of the whole process from the beginning. Grid computing architecture is a collaborative, network-based model that enables the sharing of computing resources: data, applications, storage and computing cycles. Distributed computing serves as the core of grid computing. Using IP-based networks, a grid links hundreds or thousands of servers and desktop computers into a supercomputing engine capable of delivering massive amounts of computational power and other IT resources. Grids generate a distributed network of computers that share resources over a various set of systems, pooling resources so that many computers can share work and conveniently access remote resources. There is an urgent need for grid computing in drug design, geophysical prospecting, and mechanical engineering.