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Distributed Data Management for Grid Computing
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Distributed Data Management for Grid Computing Hardback - 2005 - 1st Edition

by Michael Di Stefano

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Summary

Discover grid computing-how to successfully build, implement, and manage widely distributed computing architecture With technology budgets under increasing scrutiny and system architecture becoming more and more complex, many organizations are rethinking how they manage and use technology. Keeping a strong business focus, this publication clearly demonstrates that the current ways of tying applications to dedicated hardware are no longer viable in today's competitive, bottom line-oriented environment. This evolution in distributed computing is leading a paradigm shift in leveraging widely distributed architectures to get the most processing power per IT dollar. Presenting a solid foundation of data management issues and techniques, this practical book delves into grid architecture, services, practices, and much more, including: Why businesses should adopt grid computing How to master the fundamental concepts and programming techniques and apply them successfully to reach objectives How to maximize the value of existing IT investments The author has tailored this publication for two distinct audiences. Business professionals will gain a better understanding of how grid computing improves productivity and performance, what impact it can have on their organization's bottom line, and the technical foundations necessary to discuss grid computing with their IT colleagues. Following the author's expert guidance and practical examples, IT professionals, architects, and developers will be equipped to initiate and carry out successful grid computing projects within their own organizations.

Reader reviews for Distributed Data Management for Grid Computing

From the publisher

Discover grid computing-how to successfully build, implement, and manage widely distributed computing architecture

With technology budgets under increasing scrutiny and system architecture becoming more and more complex, many organizations are rethinking how they manage and use technology. Keeping a strong business focus, this publication clearly demonstrates that the current ways of tying applications to dedicated hardware are no longer viable in today's competitive, bottom line-oriented environment. This evolution in distributed computing is leading a paradigm shift in leveraging widely distributed architectures to get the most processing power per IT dollar.

Presenting a solid foundation of data management issues and techniques, this practical book delves into grid architecture, services, practices, and much more, including:
* Why businesses should adopt grid computing
* How to master the fundamental concepts and programming techniques and apply them successfully to reach objectives
* How to maximize the value of existing IT investments

The author has tailored this publication for two distinct audiences. Business professionals will gain a better understanding of how grid computing improves productivity and performance, what impact it can have on their organization's bottom line, and the technical foundations necessary to discuss grid computing with their IT colleagues. Following the author's expert guidance and practical examples, IT professionals, architects, and developers will be equipped to initiate and carry out successful grid computing projects within their own organizations.

First line

Grid computing has emerged as a framework for supporting complex compilations over large data sets.

From the rear cover

Discover grid computing--how to successfully build, implement, and manage widely distributed computing architecture

With technology budgets under increasing scrutiny and system architecture becoming more and more complex, many organizations are rethinking how they manage and use technology. Keeping a strong business focus, this publication clearly demonstrates that the current ways of tying applications to dedicated hardware are no longer viable in today's competitive, bottom line-oriented environment. This evolution in distributed computing is leading a paradigm shift in leveraging widely distributed architectures to get the most processing power per IT dollar.

Presenting a solid foundation of data management issues and techniques, this practical book delves into grid architecture, services, practices, and much more, including:

  • Why businesses should adopt grid computing
  • How to master the fundamental concepts and programming techniques and apply them successfully to reach objectives
  • How to maximize the value of existing IT investments

The author has tailored this publication for two distinct audiences. Business professionals will gain a better understanding of how grid computing improves productivity and performance, what impact it can have on their organization's bottom line, and the technical foundations necessary to discuss grid computing with their IT colleagues. Following the author's expert guidance and practical examples, IT professionals, architects, and developers will be equipped to initiate and carry out successful grid computing projects within their own organizations.

Details

  • Title Distributed Data Management for Grid Computing
  • Author Michael Di Stefano
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Pages 312
  • Volumes 1
  • Language ENG
  • Publisher Wiley-Interscience
  • Publication date July 11, 2005
  • Illustrated Yes
  • Features Bibliography, Glossary, Illustrated, Index, Table of Contents
  • ISBN 9780471687191 / 0471687197
  • Weight 1.22 lbs (0.55 kg)
  • Dimensions 9.6 x 6.16 x 0.75 in (24.38 x 15.65 x 1.91 cm)
  • Category Computers - General Information
  • Library of Congress subjects Database management, Computational grids (Computer systems)
  • Library of Congress Catalogue Number 2004031017
  • Dewey Decimal Code 004.36

About the author

MICHAEL Di STEFANO is CEO of Integrasoft, a leader in distributed computing in the financial and Internet advertising community since 1997. Under Di Stefano's leadership, Integrasoft established the first Data Grid User's Group in which industry experts gather and share their experiences.

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Distributed Data Management for Grid Computing
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Distributed Data Management for Grid Computing

by Michael Di Stefano

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Distributed Data Management In Grid Environments
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Distributed Data Management in Grid Environments
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