Grid computing is the use of widely distributed computer resources to reach a common goal.
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Grid computing is the use of widely distributed computer resources to reach a common goal.
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Grids are a form of distributed computing composed of many networked loosely coupled computers acting together to perform large tasks.
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One feature of distributed grids is that they can be formed from computing resources belonging to one or more multiple individuals or organizations.
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Grid computing middleware is a specific software product, which enables the sharing of heterogeneous resources, and Virtual Organizations.
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Utility computing is referred to as the provision of grid computing and applications as service either as an open grid utility or as a hosting solution for one organization or a VO.
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Grid computing-enabled applications are specific software applications that can utilize grid infrastructure.
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CPU-scavenging, cycle-scavenging, or shared computing creates a “grid” from the idle resources in a network of participants.
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Term grid computing originated in the early 1990s as a metaphor for making computer power as easy to access as an electric power grid.
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The power grid metaphor for accessible computing quickly became canonical when Ian Foster and Carl Kesselman published their seminal work, "The Grid: Blueprint for a new computing infrastructure".
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In 2007 the term cloud computing came into popularity, which is conceptually similar to the canonical Foster definition of grid computing and earlier utility computing.
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Indeed, grid computing is often associated with the delivery of cloud computing systems as exemplified by the AppLogic system from 3tera.
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The European Grid computing Infrastructure has been used for other research activities and experiments such as the simulation of oncological clinical trials.
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The NASA Advanced SuperGrid computing facility ran genetic algorithms using the Condor cycle scavenger running on about 350 Sun Microsystems and SGI workstations.
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