Job Scheduling Strategies for Parallel Processing

7th International Workshop, JSSPP 2001 Cambridge, MA, USA, June 16, 2001 Revised Papers

  • Dror G. Feitelson
  • Larry Rudolph

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2221)

Table of contents

  1. Front Matter
    Pages I-VI
  2. Mor Harchol-Balter, Nikhil Bansal, Bianca Schroeder, Mukesh Agrawal
    Pages 11-20
  3. Francesc Giné, Francesc Solsona, Porfidio Hernández, Emilio Luque
    Pages 41-65
  4. David Jackson, Quinn Snell, Mark Clement
    Pages 87-102
  5. B.B. Zhou, R.P. Brent
    Pages 103-115
  6. G. Edward Suh, Larry Rudolph, Srinivas Devadas
    Pages 116-132
  7. Y. Zhang, H. Franke, J. E. Moreira, A. Sivasubramaniam
    Pages 133-158
  8. Su-Hui Chiang, Mary K. Vernon
    Pages 159-187
  9. Back Matter
    Pages 207-207

About these proceedings


This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2001, held in Cambridge, MA, USA, in June 2001.
The 11 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision, and present state-of-the-art results in the area.


Cluster Cluster Computing Distributed Resources Distributed Systems Job Scheduling Load Balancing Memory Management Parallel Architectures Parallel Processing Scala Scheduling Workstation Clusters algorithm algorithms processor

Editors and affiliations

  • Dror G. Feitelson
    • 1
  • Larry Rudolph
    • 2
  1. 1.The Hebrew University School of Computer Science and EngineeringJerusalemIsrael
  2. 2.Laboratory for Computer ScienceMassachusetts Institute of TechnologyCambridgeUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-42817-6
  • Online ISBN 978-3-540-45540-0
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site
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