A Networking Approach to Grid Computing by Daniel Minoli

By Daniel Minoli

Deriving the grid metaphor from the electrical community of cables and tool stations, grid computing is and extension of the concept that of "computer time sharing" during which the computing surroundings goals at allowing the choice, sharing, and aggregation of geographically dispensed assets according to a number concerns very important to optimizing computing assets. Aiming his quantity at company IT pros, Minoli (managing director, modern Networks included) synthesizes the country of the sector, overlaying such themes as grid advantages; elements and architectures; criteria; deployment concerns and techniques; grid method economics; and conversation platforms for neighborhood, nationwide, and worldwide grids.

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28 INTRODUCTION One can build and deploy a grid in a variety of sizes and types: for large or small firms, for a single department or the entire enterprise, and for enterprise business applications or scientific endeavors. Like many other recent technologies, however, grid computing runs the risk of being overhyped. CIOs need to be careful not to be to oversold on grid computing. A sound, reliable, conservative economic analysis is, therefore, required that encompasses the true total cost of ownership (TCO) and assesses the true risks associated with this approach.

The next layer, the user-level middleware layer, consists of resource brokers or schedulers responsible for aggregating resources. The grid programming environments and tools layer includes the compilers, libraries, development tools, and so on, that are required to run the applications (resource brokers manage execution of applications on distributed resources using appropriate scheduling strategies and grid development tools to grid-enable applications). The top layer consists of grid applications themselves [94].

All of this has to be properly weighted against the commoditization of machine cycles (just buy more processors and retain the status quo), and against reduced support cost by way of subcontinent outsourcing of said IT support and related application development (just move operations abroad, but otherwise retain the status quo). During the past ten years or so, a tour-de-force commoditization has been experienced in computing hardware platforms that support IT applications at businesses of all sizes.

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