Matthias Hovestadt, Odej Kao, Axel Keller (auth.), Dror Feitelson, Larry Rudolph, Uwe Schwiegelshohn (eds.)3540204059
The 13 revised full papers presented were carefully refereed and selected during two rounds of reviewing and revision. The papers present state-of-the-art research results in the area with particular emphasis on conventional parallel systems (including infrastructure scheduling algorithms, I/O issues, and QoS), on scheduling issues in the context of grid computing, and on methodological aspects of performance evaluation in parallel job scheduling.
Table of contents :
Front Matter….Pages –
Scheduling in HPC Resource Management Systems: Queuing vs. Planning….Pages 1-20
TrellisDAG: A System for Structured DAG Scheduling….Pages 21-43
SLURM: Simple Linux Utility for Resource Management….Pages 44-60
OurGrid: An Approach to Easily Assemble Grids with Equitable Resource Sharing….Pages 61-86
Scheduling of Parallel Jobs in a Heterogeneous Multi-site Environment….Pages 87-104
A Measurement-Based Simulation Study of Processor Co-allocation in Multicluster Systems….Pages 105-128
Grids for Enterprise Applications….Pages 129-147
Performance Estimation for Scheduling on Shared Networks….Pages 148-165
Scaling of Workload Traces….Pages 166-182
Gang Scheduling Extensions for I/O Intensive Workloads….Pages 183-207
Parallel Job Scheduling under Dynamic Workloads….Pages 208-227
Backfilling with Lookahead to Optimize the Performance of Parallel Job Scheduling….Pages 228-251
QoPS: A QoS Based Scheme for Parallel Job Scheduling….Pages 252-268
Back Matter….Pages –
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