Job Scheduling Strategies for Parallel Processing (eBook, PDF)

9th International Workshop, JSSPP 2003, Seattle, WA, USA, June 24, 2003, Revised Papers
Redaktion: Feitelson, Dror; Schwiegelshohn, Uwe; Rudolph, Larry

• Format: PDF

Produktbeschreibung

This book constitutes the thoroughly refereed postproceedings of the 9th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2003, held in Seattle, Washington in June 2003 in conjunction with HPDC-12 and FFG-8. 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.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 276
• Erscheinungstermin: 28. Oktober 2003
• Englisch
• ISBN-13: 9783540397274
• Artikelnr.: 53382787

Autorenporträt

Dror Feitelson, The Hebrew University, Jerusalem, Israel / Larry Rudolph, Massachusetts Institute of Technology, Cambridge, USA / Uwe Schwiegelshohn, Universität Dortmund, Germany

Inhaltsangabe

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.