© 2008

Job Scheduling Strategies for Parallel Processing

13th International Workshop, JSSPP 2007, Seattle, WA, USA, June 17, 2007. Revised Papers

  • Editors
  • Eitan Frachtenberg
  • Uwe Schwiegelshohn
Conference proceedings JSSPP 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4942)

Table of contents

  1. Front Matter
  2. Eitan Frachtenberg, Uwe Schwiegelshohn
    Pages 1-23
  3. Francesc Guim, Julita Corbalan
    Pages 51-75
  4. Daniel Nurmi, John Brevik, Rich Wolski
    Pages 76-101
  5. Avi Nissimov, Dror G. Feitelson
    Pages 102-115
  6. Martin W. Margo, Kenneth Yoshimoto, Patricia Kovatch, Phil Andrews
    Pages 116-131
  7. Christian Grimme, Joachim Lepping, Alexander Papaspyrou
    Pages 132-151
  8. Atsuko Takefusa, Hidemoto Nakada, Tomohiro Kudoh, Yoshio Tanaka, Satoshi Sekiguchi
    Pages 152-168
  9. Elad Yom-Tov, Yariv Aridor
    Pages 169-187
  10. Back Matter

About these proceedings


This book constitutes the thoroughly refereed post-workshop proceedings of the 13th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2007, held in Seattle, WA, USA, in June 2007, in conjunction with the 21st ACM International Conference on Supercomputing, ICS 2007.

The 10 revised full research papers presented went through the process of strict reviewing and subsequent improvement. The papers cover all current issues of job scheduling strategies for parallel processing from the supercomputer-centric viewpoint but also address many nontraditional high-performance computing and parallel environments that cannot or need not access a traditional supercomputer, such as grids, Web services, and commodity parallel computers. The papers are organized in topical sections on performance and tools, queueing systems, as well as grid and heterogeneous architectures.


Hochleistungsrechnen Open Source Scheduling Supercomputer adaptive job scheduling cluster computing distributed computing dynamic scheduling grid computing load balancing multi-core network topology parallel architectures parallel pro processor

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