Job Scheduling Strategies for Parallel Processing

Inhaltsverzeichnis

• 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.