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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 Web-Scale Job Scheduling
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    Chapter 2 DEMB: Cache-Aware Scheduling for Distributed Query Processing
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    Chapter 3 Employing Checkpoint to Improve Job Scheduling in Large-Scale Systems
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    Chapter 4 Multi-objective Processor-Set Selection for Computational Cluster-Systems
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    Chapter 5 On Workflow Scheduling for End-to-End Performance Optimization in Distributed Network Environments
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    Chapter 6 Dynamic Kernel/Device Mapping Strategies for GPU-Assisted HPC Systems
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    Chapter 7 Optimal Co-Scheduling to Minimize Makespan on Chip Multiprocessors
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    Chapter 8 Evaluating Scalability and Efficiency of the Resource and Job Management System on Large HPC Clusters
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    Chapter 9 Partitioned Parallel Job Scheduling for Extreme Scale Computing
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    Chapter 10 High-Resolution Analysis of Parallel Job Workloads
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    Chapter 11 Identifying Quick Starters: Towards an Integrated Framework for Efficient Predictions of Queue Waiting Times of Batch Parallel Jobs
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    Chapter 12 On Identifying User Session Boundaries in Parallel Workload Logs
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    Chapter 13 Performance and Fairness for Users in Parallel Job Scheduling
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    Chapter 14 Comprehensive Workload Analysis and Modeling of a Petascale Supercomputer
Attention for Chapter 12: On Identifying User Session Boundaries in Parallel Workload Logs
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Citations

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Chapter title
On Identifying User Session Boundaries in Parallel Workload Logs
Chapter number 12
Book title
Job Scheduling Strategies for Parallel Processing
Published by
Springer, Berlin, Heidelberg, May 2012
DOI 10.1007/978-3-642-35867-8_12
Book ISBNs
978-3-64-235866-1, 978-3-64-235867-8
Authors

Netanel Zakay, Dror G. Feitelson

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 400%
Researcher 1 100%
Readers by discipline Count As %
Computer Science 5 500%

This page is provided by Altmetric.