Yuxiong He, Wen-Jing Hsu (auth.), Eitan Frachtenberg, Uwe Schwiegelshohn (eds.)3540710345, 9783540710349
The 12 revised full research papers presented went through two rounds of reviewing and improvement. The papers cover all current issues of job scheduling strategies for parallel processing such as workflow problems, scheduling performance, job migration issues, performance degradation by resource sharing, and job modeling issues in grid computing.
Table of contents :
Front Matter….Pages –
Provably Efficient Two-Level Adaptive Scheduling….Pages 1-32
Scheduling Dynamically Spawned Processes in MPI-2….Pages 33-46
Advance Reservation Policies for Workflows….Pages 47-67
On Advantages of Scheduling Using Genetic Fuzzy Systems….Pages 68-93
Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach….Pages 94-114
Adaptive Job Scheduling Via Predictive Job Resource Allocation….Pages 115-140
A Data Locality Aware Online Scheduling Approach for I/O-Intensive Jobs with File Sharing….Pages 141-160
Volunteer Computing on Clusters….Pages 161-175
Load Balancing: Toward the Infinite Network and Beyond….Pages 176-191
Symbiotic Space-Sharing on SDSC’s DataStar System….Pages 192-209
Modeling Job Arrivals in a Data-Intensive Grid….Pages 210-231
On Grid Performance Evaluation Using Synthetic Workloads….Pages 232-255
Back Matter….Pages –
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