Grid and Distributed Networks to handle mammoth tasks
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Date
2013-10-01T04:30:46Z
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Abstract
To analyze huge data sets instantaneously, run scenarios thousands of times, to get
the results after operations always faster, accurate, with an increase in productivity the super
computers can be used. But what if the same mammoth tasks can be achieved through the IT
components the user already own? Mainframes, servers, databases, storage systems, desktop
computers and workstations can be pulled together to realize this power of a super computer,
through Grid and Distributed Computing.
Grid provides a collection of servers, clients and other resources often working
collectively together to solve a problem. Much of Grid and distributed software technology
addresses the issues of resource scheduling, quality of service, fault tolerance, decentralized
control and security and so on. Grids are intrinsically distributed and heterogeneous, but must
be perceived by the user as a single virtual platform or environment with uniform access to
the resources.
The large and complex system of Grid software has to be robust, useful and provide
an interoperable collection of services that support large-scale distributed computing and data
management. Perspective of this paper provides a comprehensive look at the state of the art
and best practices for wide areas of Grid and Distributed Computing.
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Grid and Distributed Networks to handle mammoth tasks