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