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Job Scheduling Strategies for Parallel Processing

10th International Workshop, JSSPP 2004, New York, NY, USA, June 13, 2004, Revised Selected Papers

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Dror G. Feitelson

    1. Department of Computer Science, The Hebrew University of Jerusalem,  

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  2. Larry Rudolph

    1. Massachusetts Institute of Technology, Cambridge, USA

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  3. Uwe Schwiegelshohn

    1. No Affiliations,  

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3277)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: JSSPP 2004.

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Table of contents (16 papers)

  1. Front Matter

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  2. Parallel Job Scheduling — A Status Report

    • Dror G. Feitelson, Larry Rudolph, Uwe Schwiegelshohn
    Pages 1-16

  3. Scheduling on the Top 50 Machines

    • Carsten Ernemann, Martin Krogmann, Joachim Lepping, Ramin Yahyapour
    Pages 17-46

  4. Parallel Computer Workload Modeling with Markov Chains

    • Baiyi Song, Carsten Ernemann, Ramin Yahyapour
    Pages 47-62

  5. Enhancements to the Decision Process of the Self-Tuning dynP Scheduler

    • Achim Streit
    Pages 63-80

  6. Reconfigurable Gang Scheduling Algorithm

    • Luís Fabrício Wanderley Góes, Carlos Augusto Paiva da Silva Martins
    Pages 81-101

  7. Time-Critical Scheduling on a Well Utilised HPC System at ECMWF Using Loadleveler with Resource Reservation

    • Graham Holt
    Pages 102-124

  8. Inferring the Topology and Traffic Load of Parallel Programs Running in a Virtual Machine Environment

    • Ashish Gupta, Peter A. Dinda
    Pages 125-143

  9. Multi-toroidal Interconnects: Using Additional Communication Links to Improve Utilization of Parallel Computers

    • Yariv Aridor, Tamar Domany, Oleg Goldshmidt, Edi Shmueli, Jose Moreira, Larry Stockmeier
    Pages 144-159

  10. Costs and Benefits of Load Sharing in the Computational Grid

    • Darin England, Jon B. Weissman
    Pages 160-175

  11. Workload Characteristics of a Multi-cluster Supercomputer

    • Hui Li, David Groep, Lex Wolters
    Pages 176-193

  12. A Dynamic Co-allocation Service in Multicluster Systems

    • Jove M. P. Sinaga, Hashim H. Mohamed, Dick H. J. Epema
    Pages 194-209

  13. Exploiting Replication and Data Reuse to Efficiently Schedule Data-Intensive Applications on Grids

    • Elizeu Santos-Neto, Walfredo Cirne, Francisco Brasileiro, Aliandro Lima
    Pages 210-232

  14. Performance Implications of Failures in Large-Scale Cluster Scheduling

    • Yanyong Zhang, Mark S. Squillante, Anand Sivasubramaniam, Ramendra K. Sahoo
    Pages 233-252

  15. Are User Runtime Estimates Inherently Inaccurate?

    • Cynthia Bailey Lee, Yael Schwartzman, Jennifer Hardy, Allan Snavely
    Pages 253-263

  16. Improving Speedup and Response Times by Replicating Parallel Programs on a SNOW

    • Gaurav D. Ghare, Scott T. Leutenegger
    Pages 264-287

  17. LOMARC — Lookahead Matchmaking for Multi-resource Coscheduling

    • Angela C. Sodan, Lei Lan
    Pages 288-315

  18. Back Matter

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About this book

This volume contains the papers presented at the 10th Anniversary Workshop on Job Scheduling Strategies for Parallel Processing. The workshop was held in New York City, on June 13, 2004, at Columbia University, in conjunction with the SIGMETRICS 2004 conference. Although it is a workshop, the papers were conference-reviewed, with the full versions being read and evaluated by at least five and usually seven members of the Program Committee. We refer to it as a workshop because of the very fast turnaround time, the intimate nature of the actual presentations, and the ability of the authors to revise their papers after getting feedback from workshop attendees. On the other hand, it was actually a conference in that the papers were accepted solely on their merits as decided upon by the Program Committee. We would like to thank the Program Committee members, Su-Hui Chiang, Walfredo Cirne, Allen Downey, Eitan Frachtenberg, Wolfgang Gentzsch, Allan Gottlieb, Moe Jette, Richard Lagerstrom, Virginia Lo, Reagan Moore, Bill Nitzberg, Mark Squillante, and John Towns, for an excellent job. Thanks are also due to the authors for their submissions, presentations, and final revisions for this volume. Finally, we would like to thank the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), The Hebrew University, and Columbia University for the use of their facilities in the preparation of the workshop and these proceedings.

Editors and Affiliations

  • Department of Computer Science, The Hebrew University of Jerusalem,  

    Dror G. Feitelson

  • Massachusetts Institute of Technology, Cambridge, USA

    Larry Rudolph

  • No Affiliations,  

    Uwe Schwiegelshohn

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