Job Scheduling Strategies for Parallel Processing (eBook, PDF)

12th International Workshop, JSSPP 2006, Saint-Malo, France, June 26, 2006, Revised Selected Papers
Redaktion: Frachtenberg, Eitan; Schwiegelshohn, Uwe

• Format: PDF

Produktbeschreibung

This book constitutes the thoroughly refereed post-proceedings of the 12th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2006, held in Saint-Malo, France in June 2006 in conjunction with the Joint International Conference on Measurement and Modeling of Computer Systems SIGMETRICS/Performance 2006. The 12 revised full research papers cover all current issues of job scheduling strategies for parallel processing.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 264
• Erscheinungstermin: 17. Mai 2007
• Englisch
• ISBN-13: 9783540710356
• Artikelnr.: 44224000

Autorenporträt

Eitan Frachtenberg, Los Alamos National Laboratory, NM, USA / Uwe Schwiegelshohn, University of Dortmund, Germany

Inhaltsangabe

Provably Efficient Two-Level Adaptive Scheduling.- Scheduling Dynamically Spawned Processes in MPI-2.- Advance Reservation Policies for Workflows.- On Advantages of Scheduling Using Genetic Fuzzy Systems.- Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach.- Adaptive Job Scheduling Via Predictive Job Resource Allocation.- A Data Locality Aware Online Scheduling Approach for I/O-Intensive Jobs with File Sharing.- Volunteer Computing on Clusters.- Load Balancing: Toward the Infinite Network and Beyond.- Symbiotic Space-Sharing on SDSC's DataStar System.- Modeling Job Arrivals in a Data-Intensive Grid.- On Grid Performance Evaluation Using Synthetic Workloads.