Download A Networking Approach to Grid Computing by Daniel Minoli PDF

By Daniel Minoli

ISBN-10: 0471687561

ISBN-13: 9780471687566

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" within which the computing setting goals at allowing the choice, sharing, and aggregation of geographically allotted assets in response to more than a few issues vital to optimizing computing assets. Aiming his quantity at company IT execs, Minoli (managing director, modern Networks integrated) synthesizes the country of the sector, protecting such themes as grid merits; elements and architectures; criteria; deployment concerns and methods; grid process economics; and conversation structures for neighborhood, nationwide, and worldwide grids.

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6 A PRAGMATIC COURSE OF INVESTIGATION In order to identify possible benefits to their organizations, planners should understand grid computing concepts and the underlying networking mechanisms. Practitioners interested in grid computing are asking basic questions [90]: What do we do with all of this stuff? Where do we start? How do the pieces fit together? What comes next? As implied by the introductory but rather encompassing discussion above, grid computing is applicable to enterprise users at two levels: 1.

This metacomputing environment is achieved by treating such IT resources as processing power, memory, storage, and network bandwidth as pure commodities. Like an electricity or water network, computational power can be delivered to any department or any application where it is needed most at any given time, based on specified business goals and priorities. Furthermore, grid computing allows charge-back on a per-usage basis rather than for a fixed infrastructure cost [130]. Present-day grids encompass the following types [90]: ț Computational grids, in which machines with set-aside resources allocated to “number crunch” data or provide coverage for other intensive workloads ț Scavenging grids, commonly used to find and harvest machine cycles from idle servers and desktop computers for use in resource-intensive tasks (scavenging is usually implemented in a way that is unobtrusive to the owner/user of the processor) ț Data grids, which provide a unified interface for all data repositories in an organization, and through which data can be queried, managed, and secured As already noted, no claim is made herein that there is a single solution to a given problem; grid computing is one of the available solutions.

2 also identifies some of the data grid initiatives. TEAM LinG - Live, Informative, Non-cost and Genuine!

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A Networking Approach to Grid Computing by Daniel Minoli

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