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Job Scheduling Strategies for Parallel Processing

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Cover of 'Job Scheduling Strategies for Parallel Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling User Runtime Estimates
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    Chapter 2 Workload Analysis of a Cluster in a Grid Environment
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    Chapter 3 ScoPred–Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data
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    Chapter 4 Open Job Management Architecture for the Blue Gene/L Supercomputer
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    Chapter 5 AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs
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    Chapter 6 An Extended Evaluation of Two-Phase Scheduling Methods for Animation Rendering
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    Chapter 7 Co-scheduling with User-Settable Reservations
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    Chapter 8 Scheduling Moldable BSP Tasks
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    Chapter 9 Evolving Toward the Perfect Schedule: Co-scheduling Job Assignments and Data Replication in Wide-Area Systems Using a Genetic Algorithm
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    Chapter 10 Wave Scheduler: Scheduling for Faster Turnaround Time in Peer-Based Desktop Grid Systems
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    Chapter 11 Enhancing Security of Real-Time Applications on Grids Through Dynamic Scheduling
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    Chapter 12 Unfairness Metrics for Space-Sharing Parallel Job Schedulers
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    Chapter 13 Pitfalls in Parallel Job Scheduling Evaluation
Attention for Chapter 3: ScoPred–Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data
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