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Grid Resource Management

State of the Art and Future Trends

  • Book
  • © 2004

Overview

Editors:
  1. Jarek Nabrzyski

    1. Poznań Supercomputing and Networking Center, Poland

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    You can also search for this editor in PubMed   Google Scholar

  2. Jennifer M. Schopf

    1. Argonne National Laboratory, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Jan Węglarz

    1. Institute of Computing Science, Poznań University of Technology, Poland

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    You can also search for this editor in PubMed   Google Scholar

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

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Table of contents (30 chapters)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. The Grid in a Nutshell

      • Ian Foster, Carl Kesselman
      Pages 3-13

    3. Ten Actions When Grid Scheduling

      • Jennifer M. Schopf
      Pages 15-23

    4. Application Requirements for Resource Brokering in a Grid Environment

      • Michael Russell, Gabrielle Allen, Tom Goodale, Jarek Nabrzyski, Ed Seidel
      Pages 25-40

    5. Attributes for Communication Between Grid Scheduling Instances

      • Uwe Schwiegelshohn, Ramin Yahyapour
      Pages 41-52

    6. Security Issues of Grid Resource Management

      • Mary R. Thompson, Keith R. Jackson
      Pages 53-69

  3. Resource Management in Support of Collaborations

    1. Front Matter

      Pages 71-71
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    2. Scheduling in the Grid Application Development Software Project

      • Holly Dail, Otto Sievert, Fran Berman, Henri Casanova, Asim YarKhan, Sathish Vadhiyar et al.
      Pages 73-98

    3. Workflow Management in Griphyn

      • 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
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    2. Grid Service Level Agreements

      • Karl Czajkowski, Ian Foster, Carl Kesselman, Steven Tuecke
      Pages 119-134

    3. Condor and Preemptive Resume Scheduling

      • Alain Roy, Miron Livny
      Pages 135-144

    4. Grid Resource Management in Legion

      • Anand Natrajan, Marty A. Humphrey, Andrew S. Grimshaw
      Pages 145-160

    5. Grid Scheduling with Maui/Silver

      • David B. Jackson
      Pages 161-170

    6. Scheduling Attributes and Platform LSF

      • Ian Lumb, Chris Smith
      Pages 171-182

    7. PBS Pro: Grid Computing and Scheduling Attributes

      • 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
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    2. Performance Information Services for Computational Grids

      • Rich Wolski, Lawrence J. Miller, Graziano Obertelli, Martin Swany
      Pages 193-213

    3. Using Predicted Variance for Conservative Scheduling on Shared Resources

      • Jennifer M. Schopf, Lingyun Yang
      Pages 215-236
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Keywords

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.

Editors and Affiliations

  • Poznań Supercomputing and Networking Center, Poland

    Jarek Nabrzyski

  • Argonne National Laboratory, USA

    Jennifer M. Schopf

  • Institute of Computing Science, Poznań University of Technology, Poland

    Jan Węglarz

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