By Daniel Minoli
Deriving the grid metaphor from the electrical community of cables and gear stations, grid computing is and extension of the concept that of "computer time sharing" within which the computing atmosphere goals at allowing the choice, sharing, and aggregation of geographically disbursed assets according to more than a few concerns vital to optimizing computing assets. Aiming his quantity at company IT pros, Minoli (managing director, modern Networks integrated) synthesizes the nation of the sector, masking such subject matters as grid advantages; elements and architectures; criteria; deployment matters and techniques; grid procedure economics; and verbal exchange platforms for neighborhood, nationwide, and worldwide grids.
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Deriving the grid metaphor from the electrical community of cables and gear stations, grid computing is and extension of the idea that of "computer time sharing" within which the computing surroundings goals at permitting the choice, sharing, and aggregation of geographically allotted assets in accordance with a number issues very important to optimizing computing assets.
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Additional resources for A Networking Approach to Grid Computing
A number of university consortia, corporations, professional groups, and other stakeholders have developed and/or are developing frameworks and software for managing grid computing projects. The European Community, for example, is sponsoring a project for grid-based high-energy physics, earth observation, and biology applications. In the United States, the National Center for Supercomputing Applications at the University of Illinois at Urbana–Champaign has demonstrated a prototype of a national computational grid called the National Technology Grid; this grid enables the science and engineering community to reap the benefits of high-performance computing and communications technologies and makes these developments available to broad sectors of society .
Like virtualization technologies, grid computing enables the virtualization of IT resources. Unlike virtualization technologies, which virtualize a single system, grid computing enables the virtualization of broad-scale and disparate IT resources . S. academic sites, are all bona-fide examples of grid computing. A multisite scheduler such as Platform’s MultiCluster can reasonably be called (first-generation) grids. Other examples of grid computing include the distributed computing systems provided by Condor, Entropia, and United Devices, which make use of idle desktops; peer-to-peer systems such as Gnutella, which support file sharing among participating peers; and a federated deployment of the Storage Resource Broker, which supports distributed access to data resources .
Just as an Internet user views a unified instance of content via the Web, a grid computing user essentially sees a single, large virtual computer . “Virtualization”—the driving force behind grid computing—has been a key factor since the earliest days of electronic business computing. ), then significant savings are achievable. Specifically, whereas a classical mod3 Virtualization can be achieved without grid computing; but many view virtualization as a step toward the goal of deploying grid computing infrastructures.