Job Scheduling Strategies for Parallel Processing: 11th International Workshop, JSSPP 2005, Cambridge, MA, USA, June 19, 2005, Revised Selected Papers

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Dror Feitelson, Eitan Frachtenberg, Larry Rudolph, Uwe Schwiegelshohn
Springer Science & Business Media, Dec 14, 2005 - Computers - 282 pages
Thisvolumecontainsthepaperspresentedatthe11thworkshoponJobSched- ing Strategies for Parallel Processing. The workshop was held in Boston, MA, on June 19, 2005, in conjunction with the 19th ACM International Conference on Supercomputing (ICS05). The papers went through a complete review process, with the full version being readand evaluatedby anaverageof ?ve reviewers.We wouldlike to thank the Program Committee members for their willingness to participate in this e?ortandtheirexcellent, detailedreviews: Su-HuiChiang, WalfredoCirne, Allen Downey, Wolfgang Gentzsch, Allan Gottlieb, Moe Jette, Richard Lagerstrom, Virginia Lo, Jose Moreira, Bill Nitzberg, and Mark Squillante. We would also like to thank Sally Lee of MIT for her assistance in the organization of the workshop and the preparation of the pre-conference proceedings. The papers in this volume cover a wide range of parallel architectures, from distributed grids, through clusters, to massively-parallel supercomputers. The diversity extends to application domains as well, from short, sequential tasks, through interdependent tasks and distributed animation rendering, to classical large-scale parallel workloads. In addition, the methods and metrics used for scheduling and evaluation include not only the usual performance and workload considerations, but also considerations such as security, fairness, and timezones. This wide range of topics attests to the continuing viability of job scheduling research. The continued interest in this area is re?ected by the longevity of this wo- shop, which has now reached its 11th consecutive year. The proceedings of p- vious workshops are available from Springer as LNCS volumes 949, 1162, 1291, 1459,1659,1911,2221,2537,2862, and3277(and since1998theyhavealsobeen available online).
 

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Contents

Modeling User Runtime Estimates
1
Workload Analysis of a Cluster in a Grid Environment
36
ScoPredScalable UserDirected Performance Prediction Using Complexity Modeling and Historical Data
62
Open Job Management Architecture for the Blue GeneL Supercomputer
91
A Scheduling Strategy for Irregular and Iterative IOIntensive Parallel Jobs
108
An Extended Evaluation of TwoPhase Scheduling Methods for Animation Rendering
123
Coscheduling with UserSettable Reservations
146
Scheduling Moldable BSP Tasks
157
Coscheduling Job Assignments and Data Replication in WideArea Systems Using a Genetic Algorithm
173
Scheduling for Faster Turnaround Time in PeerBased Desktop Grid Systems
194
Enhancing Security of RealTime Applications on Grids Through Dynamic Scheduling
219
Unfairness Metrics for SpaceSharing Parallel Job Schedulers
238
Pitfalls in Parallel Job Scheduling Evaluation
257
Author Index
283
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