ISBN: 3-540-66676-1
TITLE: Job Scheduling Strategies for Parallel Processing
AUTHOR: Feitelson, Dror G.; Rudolph, Larry (Eds.)
TOC:

Scheduling for Parallel Supercomputing: A Historical Perspective of
Achievable Utilization 1
James Patton Jones and Bill Nitzberg
On the Design and Evaluation of Job Scheduling Algorithms 17
Jochen Krallmann, Uwe Schwiegelshohn and Ramin Yahyapour
Comparing Logs and Models of Parallel Workloads Using the Co-plot Method 43
David Talby, Dror G. Feitelson and Adi Raveh
Benchmarks and Standards for the Evaluation of Parallel Job Schedulers 67
Steve J. Chapin, Walfredo Cirne, Dror G. Feitelson,
James Patton Jones, Scott T. Leutenegger, Uwe Schwiegelshohn, Warren Smith and David Talby 
The Effect of Correlating Quantum Allocation and Job Size for Gang Scheduling 91
Gaurav Ghare and Scott T. Leutenegger
Scheduling on AP/Linux for Fine and Coarse Grain Parallel Processes 111
Kuniyasu Suzaki and David Walsh
Job Re-packing for Enhancing the Performance of Gang Scheduling 129
B. B. Zhou, R. P. Brent, C. W. Johnson and D. Walsh
Process Tracking for Parallel Job Control 144
Hubertus Franke, Jos E. Moreira and Pratap Pattnaik
The Legion Resource Management System 162
Steve J. Chapin, Dimitrios Katramatos, John Karpovich and Andrew S. Grimshaw
Scheduling a Metacomputer with Uncooperative Sub-schedulers 179
Jrn Gehring and Thomas Preiss
Using Run-Time Predictions to Estimate Queue Wait Times and Improve Scheduler Performance 202
Warren Smith, Valerie Taylor and Ian Foster
Deterministic Batch Scheduling without Static Partitioning 220
Kostadis Roussos, Nawaf Bitar and Robert English
Author Index 237
END
