Job Scheduling Strategies for Parallel Processing [electronic resource] : 11th International Workshop, JSSPP 2005, Cambridge, MA, USA, June 19, 2005, Revised Selected Papers / edited by Dror Feitelson, Eitan Frachtenberg, Larry Rudolph, Uwe Schwiegelshohn.
Contributor(s): Feitelson, Dror [editor.] | Frachtenberg, Eitan [editor.] | Rudolph, Larry [editor.] | Schwiegelshohn, Uwe [editor.] | SpringerLink (Online service).
Material type: BookSeries: Theoretical Computer Science and General Issues: 3834Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005.Description: VIII, 283 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540316176.Subject(s): Computer systems | Operating systems (Computers) | Computer programming | Algorithms | Microprocessors | Computer architecture | Logic design | Computer System Implementation | Operating Systems | Programming Techniques | Algorithms | Processor Architectures | Logic DesignAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.2 Online resources: Click here to access onlineModeling 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.
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