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Grid Resource Management

Grid Resource Management

Grid Resource Management
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Grid Resource Management Hardback - - 2003rd Edition

by Jarek Nabrzyski (Editor); Jennifer M. Schopf (Editor); Jan Weglarz (Editor)

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Springer , pp. 600 . Hardback. Used.
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Details

  • Title Grid Resource Management
  • Author Jarek Nabrzyski (Editor); Jennifer M. Schopf (Editor); Jan Weglarz (Editor)
  • Binding Hardback
  • Edition number 2003rd
  • Edition 2003
  • Condition Used
  • Pages 575
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date pp. 600
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 6289112
  • ISBN 9781402075759 / 1402075758
  • Weight 2.08 lbs (0.94 kg)
  • Dimensions 9.46 x 6.62 x 1.26 in (24.03 x 16.81 x 3.20 cm)
  • Category Computers - General Information
  • Library of Congress subjects Computational grids (Computer systems)
  • Library of Congress Catalogue Number 2003060706
  • Dewey Decimal Code 004.36
  • Quantity available 1

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From the publisher

Grid Resource Management: State of the Art and Future Trends presents an overview of the state of the field and describes both the real experiences and the current research available today. Grid computing is a rapidly developing and changing field, involving the shared and coordinated use of dynamic, multi-institutional resources. Grid resource management is the process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring Grid resources over time in order to run Grid applications as efficiently as possible.
While Grids have become almost commonplace, the use of good Grid resource management tools is far from ubiquitous because of the many open issues of the field, including the multiple layers of schedulers, the lack of control over resources, the fact that resources are shared, and that users and administrators have conflicting performance goals.

First line

The term "the Grid" was coined in the mid-1990s to denote a (then) proposed distributed computing infrastructure for advanced science and engineering.

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