Grid Resource Management

State of the Art and Future Trends

  • Jarek Nabrzyski
  • Jennifer M. Schopf
  • Jan Węglarz

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 64)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Introduction to Grids and Resource Management

    1. Front Matter
      Pages 1-1
    2. Ian Foster, Carl Kesselman
      Pages 3-13
    3. Jennifer M. Schopf
      Pages 15-23
    4. Michael Russell, Gabrielle Allen, Tom Goodale, Jarek Nabrzyski, Ed Seidel
      Pages 25-40
    5. Uwe Schwiegelshohn, Ramin Yahyapour
      Pages 41-52
    6. Mary R. Thompson, Keith R. Jackson
      Pages 53-69
  3. Resource Management in Support of Collaborations

    1. Front Matter
      Pages 71-71
    2. Holly Dail, Otto Sievert, Fran Berman, Henri Casanova, Asim YarKhan, Sathish Vadhiyar et al.
      Pages 73-98
    3. Ewa Deelman, James Blythe, Yolanda Gil, Carl Kesselman
      Pages 99-116
  4. State of the Art Grid Resource Management

    1. Front Matter
      Pages 117-117
    2. Karl Czajkowski, Ian Foster, Carl Kesselman, Steven Tuecke
      Pages 119-134
    3. Alain Roy, Miron Livny
      Pages 135-144
    4. Anand Natrajan, Marty A. Humphrey, Andrew S. Grimshaw
      Pages 145-160
    5. David B. Jackson
      Pages 161-170
    6. Ian Lumb, Chris Smith
      Pages 171-182
    7. Bill Nitzberg, Jennifer M. Schopf, James Patton Jones
      Pages 183-190
  5. Prediction and Matching for Grid Resource Management

    1. Front Matter
      Pages 191-191
    2. Rich Wolski, Lawrence J. Miller, Graziano Obertelli, Martin Swany
      Pages 193-213
    3. Jennifer M. Schopf, Lingyun Yang
      Pages 215-236
    4. Rajesh Raman, Marvin Solomon, Miron Livny, Alain Roy
      Pages 255-270
    5. Krzysztof Kurowski, Jarek Nabrzyski, Ariel Oleksiak, Jan Węglarz
      Pages 271-293
    6. Marek Mika, Grzegorz Waligóra, Jan Węglarz
      Pages 295-318
  6. Data-Centric Approaches for Grid Resource Management

    1. Front Matter
      Pages 319-319
    2. Arie Shoshani, Alexander Sim, Junmin Gu
      Pages 321-340
    3. John Bent, Venkateshwaran Venkataramani, Nick LeRoy, Alain Roy, Joseph Stanley, Andrea C. Arpaci-Dusseau et al.
      Pages 341-357
    4. Kavitha Ranganathan, Ian Foster
      Pages 359-373
  7. Quality of Service: QoS

    1. Front Matter
      Pages 375-375
    2. Alain Roy, Volker Sander
      Pages 377-394
    3. Xiaohui Gu, Klara Nahrstedt
      Pages 395-410
  8. Resource Management in Peer-to-Peer Environments

    1. Front Matter
      Pages 411-411
    2. Adriana Iamnitchi, Ian Foster
      Pages 413-429
    3. Andrew A. Chien, Shawn Marlin, Stephen T. Elbert
      Pages 431-450
    4. Ian Taylor, Matthew Shields, Ian Wang
      Pages 451-462
  9. Economic Approaches and Grid Resource Management

    1. Front Matter
      Pages 463-463
    2. Chris Kenyon, Giorgos Cheliotis
      Pages 465-478
    3. Steven Newhouse, Jon MacLaren, Katarzyna Keahey
      Pages 479-490
    4. Carsten Ernemann, Ramin Yahyapour
      Pages 491-506
  10. Back Matter
    Pages 507-575

About this book


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.


Operations Research QoS Scheduling Workflow Management algorithms architecture metaheuristic security

Editors and affiliations

  • Jarek Nabrzyski
    • 1
  • Jennifer M. Schopf
    • 2
  • Jan Węglarz
    • 3
  1. 1.Poznań Supercomputing and Networking CenterPoland
  2. 2.Argonne National LaboratoryUSA
  3. 3.Institute of Computing SciencePoznań University of TechnologyPoland

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 2004
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5112-2
  • Online ISBN 978-1-4615-0509-9
  • Series Print ISSN 0884-8289
  • Buy this book on publisher's site
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