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Job Scheduling Strategies for Parallel Processing

Editat de Dror Feitelson, Larry Rudolph, Uwe Schwiegelshohn
en Limba Engleză Paperback – 16 oct 2003
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.
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Specificații

ISBN-13: 9783540204053
ISBN-10: 3540204059
Pagini: 284
Ilustrații: VIII, 276 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.44 kg
Ediția:2003
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Scheduling in HPC Resource Management Systems: Queuing vs. Planning.- TrellisDAG: A System for Structured DAG Scheduling.- SLURM: Simple Linux Utility for Resource Management.- OurGrid: An Approach to Easily Assemble Grids with Equitable Resource Sharing.- Scheduling of Parallel Jobs in a Heterogeneous Multi-site Environment.- A Measurement-Based Simulation Study of Processor Co-allocation in Multicluster Systems.- Grids for Enterprise Applications.- Performance Estimation for Scheduling on Shared Networks.- Scaling of Workload Traces.- Gang Scheduling Extensions for I/O Intensive Workloads.- Parallel Job Scheduling under Dynamic Workloads.- Backfilling with Lookahead to Optimize the Performance of Parallel Job Scheduling.- QoPS: A QoS Based Scheme for Parallel Job Scheduling.

Caracteristici

Includes supplementary material: sn.pub/extras