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Grid computing

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GRID COMPUTING. Today's science is much based on computation, data analysis, and collaboration as on the efforts of individual experimentalists and theorists. – PowerPoint PPT presentation

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Title: Grid computing


1
Grid computing
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GRID COMPUTING
  • Today's science is much based on computation,
    data analysis, and collaboration as on the
    efforts of individual experimentalists and
    theorists.
  • Grid computing is the application of several
    computers to a single problem at the same time.
  • Grid computing depends on software to divide and
    apportion pieces of a program among several
    computers.

3
  • In case of clusters, the resource allocation is
    performed by a centralised resource manager and
    all nodes cooperatively work together as a single
    unified resource. In case of Grids, each node has
    its own resource manager and do not aim for
    providing a single system view.
  • One of the major disadvantages of this feature is
    that the computers which are actually performing
    the calculations might not be entirely
    trustworthy.

4
How grid computing works
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The following are the major business areas for
grid computing
  • Life sciences analyze biological and chemical
    information.
  • Financial services- for complex financial models.
  • Higher education data and computation-intensive
    research.
  • Engineering services collaborative design and
    data-intensive testing.
  • Government collaboration and agility in both
    civil and military departments

6
Some of prominent Grid computing organizations
worldwide
  • Global Grid Forum(GGF)
  • European Grid Forum
  • IBM
  • Unicor Forum
  • Griphyn

7
References
  • Joshy Joseph, Craig Fellenstein, Pearson Pte.Ltd,
    pg no35.
  • http//www.google.co.in/imgres?imgurlhttp//stati
    c.howstuffworks.com/gif/grid-computing.
  • http//searchdatacenter.techtarget.com/sDefinition
    /0,,sid80_gci773157,00.html.
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