Job Scheduling Strategies for Parallel Processing

This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2001, held in Cambridge, MA, USA, in June 2001.
The 11 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision, and present state-of-the-art results in the area.

Inhalt

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.