Job Scheduling Strategies for Parallel Processing

Inhalt

Modeling User Runtime Estimates.- Workload Analysis of a Cluster in a Grid Environment.- ScoPred-Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data.- Open Job Management Architecture for the Blue Gene/L Supercomputer.- AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs.- An Extended Evaluation of Two-Phase Scheduling Methods for Animation Rendering.- Co-scheduling with User-Settable Reservations.- Scheduling Moldable BSP Tasks.- Evolving Toward the Perfect Schedule: Co-scheduling Job Assignments and Data Replication in Wide-Area Systems Using a Genetic Algorithm.- Wave Scheduler: Scheduling for Faster Turnaround Time in Peer-Based Desktop Grid Systems.- Enhancing Security of Real-Time Applications on Grids Through Dynamic Scheduling.- Unfairness Metrics for Space-Sharing Parallel Job Schedulers.- Pitfalls in Parallel Job Scheduling Evaluation.