Job Scheduling Strategies for Parallel Processing
Springer Berlin (Verlag)
978-3-540-31024-2 (ISBN)
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.
Erscheint lt. Verlag | 14.12.2005 |
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Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
Zusatzinfo | VIII, 283 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 444 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Betriebssysteme / Server |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
Schlagworte | Algorithm analysis and problem complexity • algorithms • Cluster Computing • Complexity • Complexity modeling • Deployment • Distributed Systems • Dynamic scheduling • Genetic algorithms • grid computing • Job Scheduling • Load Balancing • Memory Management • multi-processor systems • network topology • Parallel Architectures • Parallel Computing • Parallel Processing • Parallelprogrammierung • real-time • Scheduling • security • workload studies |
ISBN-10 | 3-540-31024-X / 354031024X |
ISBN-13 | 978-3-540-31024-2 / 9783540310242 |
Zustand | Neuware |
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