Job Scheduling Strategies for Parallel Processing: 12th International Workshop, JSSPP 2006, Saint-Malo, France, June 26, 2006, Revised Selected Papers / Edition 1

Job Scheduling Strategies for Parallel Processing: 12th International Workshop, JSSPP 2006, Saint-Malo, France, June 26, 2006, Revised Selected Papers / Edition 1

ISBN-10:
3540710345
ISBN-13:
9783540710349
Pub. Date:
03/22/2007
Publisher:
Springer Berlin Heidelberg
ISBN-10:
3540710345
ISBN-13:
9783540710349
Pub. Date:
03/22/2007
Publisher:
Springer Berlin Heidelberg
Job Scheduling Strategies for Parallel Processing: 12th International Workshop, JSSPP 2006, Saint-Malo, France, June 26, 2006, Revised Selected Papers / Edition 1

Job Scheduling Strategies for Parallel Processing: 12th International Workshop, JSSPP 2006, Saint-Malo, France, June 26, 2006, Revised Selected Papers / Edition 1

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Overview

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.


Product Details

ISBN-13: 9783540710349
Publisher: Springer Berlin Heidelberg
Publication date: 03/22/2007
Series: Lecture Notes in Computer Science , #4376
Edition description: 2007
Pages: 264
Product dimensions: 5.90(w) x 9.20(h) x 0.70(d)

Table of Contents

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.
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