Job Scheduling Strategies for Parallel Processing: 9th International Workshop, JSSPP 2003, Seattle, WA, USA, June 24, 2003, Revised Papers, Volume 9

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Springer Science & Business Media, Oct 16, 2003 - Computers - 268 pages
This volume contains the papers presented at the 9th workshopon Job Sched- ing Strategies for Parallel Processing, which was held in conjunction with HPDC12 and GGF8 in Seattle, Washington, on June 24, 2003. The papers went through a complete review process, with the full version being read and eva- ated by ?ve to seven members of the program committee. We would like to take this opportunity to thank the program committee, Su-Hui Chiang, Walfredo Cirne, Allen Downey, Wolfgang Gentzsch, Allan Gottlieb, Moe Jette, Richard Lagerstrom, Virginia Lo, Cathy McCann, 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 ?nal revisions for this volume. Finally, we would like to thank the MIT Laboratory for Computer Science and the School of Computer Science and Engineering at the Hebrew University for the use of their facilities in the preparation of these proceedings. This year we had papers on three main topics. The ?rst was continued work on conventional parallel systems, including infrastructure and scheduling al- rithms. Notable extensions include the considerationof I/O and QoSissues. The secondmajortheme wasscheduling inthe contextofgridcomputing, whichc- tinues to be an area of much activity and rapid progress.The third area was the methodological aspects of evaluating the performance of parallel job scheduling.
 

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Contents

Queuing vs Planning
1
A System for Structured DAG Scheduling
21
Simple Linux Utility for Resource Management
44
An Approach to Easily Assemble Grids with Equitable Resource Sharing
61
Scheduling of Parallel Jobs in a Heterogeneous Multisite Environment
87
A MeasurementBased Simulation Study of Processor Coallocation in Multicluster Systems
105
Grids for Enterprise Applications
129
Performance Estimation for Scheduling on Shared Networks
148
Scaling of Workload Traces
166
Gang Scheduling Extensions for IO Intensive Workloads
183
Parallel Job Scheduling under Dynamic Workloads
208
Backfilling with Lookahead to Optimize the Performance of Parallel Job Scheduling
228
A QoS Based Scheme for Parallel Job Scheduling
252
Author Index
269
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