Job Scheduling Strategies for Parallel Processing: 9th International Workshop, JSSPP 2003, Seattle, WA, USA, June 24, 2003, Revised Papers, Volume 9
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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0.9 1 Utilization Adaptive-IOGS aﬀect allocation average job backﬁlling batch scheduler checkers clusters co-allocation communication components conﬁguration consumer database deﬁned diﬀerent Distributed Computing Dror G eﬀect enterprise applications evaluation FCFS Figure ﬁle nodes ﬁnd ﬁrst ﬂexible gang scheduling Globus-2 grid computing heterogeneous heuristic infrastructure IOGS Job Scheduling Strategies job step Larry Rudolph machine metacomputing metascheduler modiﬁed multicluster NAS benchmarks non-deadline number of jobs number of processors OurGrid Parallel Job Scheduling Parallel Processing parameters partition peer performance placeholder priority provider QoPS queue queuing requests reservation resource capacity resource management system response retrograde analysis runtime Runtime Expansion Factor scenarios scheduling algorithms scheme Schwiegelshohn SDSC Section servers Service Level Agreements sharing signiﬁcant simulation slowdown SLURM slurmctld speciﬁc srun Strategies for Parallel stringency factor Supercomputer tasks TrellisDAG waiting jobs workﬂow workload traces Workshop on Job φ φ