Job Scheduling Strategies for Parallel Processing
Springer Berlin (Verlag)
978-3-540-20405-3 (ISBN)
Scheduling in HPC Resource Management Systems: Queuing vs. Planning.- TrellisDAG: A System for Structured DAG Scheduling.- SLURM: Simple Linux Utility for Resource Management.- OurGrid: An Approach to Easily Assemble Grids with Equitable Resource Sharing.- Scheduling of Parallel Jobs in a Heterogeneous Multi-site Environment.- A Measurement-Based Simulation Study of Processor Co-allocation in Multicluster Systems.- Grids for Enterprise Applications.- Performance Estimation for Scheduling on Shared Networks.- Scaling of Workload Traces.- Gang Scheduling Extensions for I/O Intensive Workloads.- Parallel Job Scheduling under Dynamic Workloads.- Backfilling with Lookahead to Optimize the Performance of Parallel Job Scheduling.- QoPS: A QoS Based Scheme for Parallel Job Scheduling.
Erscheint lt. Verlag | 16.10.2003 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | VIII, 276 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 233 mm |
Gewicht | 433 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Betriebssysteme / Server |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
Schlagworte | algorithm • algorithms • Cluster Computing • Distributed Resources • Distributed Systems • grid computing • Job Scheduling • Linux • Load Balancing • Massively Parallel Computing • Memory Management • Parallel Computing • Processor • QoS • Quality of Service • Scheduling • Scheme • shared memory systems • shared networks |
ISBN-10 | 3-540-20405-9 / 3540204059 |
ISBN-13 | 978-3-540-20405-3 / 9783540204053 |
Zustand | Neuware |
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