Job Scheduling Strategies for Parallel Processing - Info and Reading Options

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Job Scheduling Strategies for Parallel Processing: 7th International Workshop, JSSPP 2001 Cambridge, MA, USA, June 16, 2001 Revised Papers<br />Author: Dror G. Feitelson, Larry Rudolph<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-42817-6<br /> DOI: 10.1007/3-540-45540-X<br /><br />Table of Contents:<p></p><ul><li>Performance Evaluation with Heavy Tailed Distributions </li><li>SRPT Scheduling for Web Servers </li><li>An Efficient and Scalable Coscheduling Technique for Large Symmetric Multiprocessor Clusters </li><li>Coscheduling under Memory Constraints in a NOW Environment </li><li>The Influence of Communication on the Performance of Co-allocation </li><li>Core Algorithms of the Maui Scheduler </li><li>On the Development of an Efficient Coscheduling System </li><li>Effects of Memory Performance on Parallel Job Scheduling </li><li>An Integrated Approach to Parallel Scheduling Using Gang-Scheduling, Backfilling, and Migration </li><li>Characteristics of a Large Shared Memory Production Workload </li><li>Metrics for Parallel Job Scheduling and Their Convergence</li></ul>

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