Chapter 1 Modeling User Runtime Estimates

Chapter 2 Workload Analysis of a Cluster in a Grid Environment

Chapter 3 ScoPred–Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data

Chapter 4 Open Job Management Architecture for the Blue Gene/L Supercomputer

Chapter 5 AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs

Chapter 6 An Extended Evaluation of Two-Phase Scheduling Methods for Animation Rendering

Chapter 7 Co-scheduling with User-Settable Reservations

Chapter 9 Evolving Toward the Perfect Schedule: Co-scheduling Job Assignments and Data Replication in Wide-Area Systems Using a Genetic Algorithm

Chapter 10 Wave Scheduler: Scheduling for Faster Turnaround Time in Peer-Based Desktop Grid Systems

Chapter 11 Enhancing Security of Real-Time Applications on Grids Through Dynamic Scheduling

Chapter 12 Unfairness Metrics for Space-Sharing Parallel Job Schedulers

Chapter 13 Pitfalls in Parallel Job Scheduling Evaluation