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Job Scheduling Strategies for Parallel Processing

21st International Workshop, JSSPP 2017, Orlando, FL, USA, June 2, 2017, Revised Selected Papers

  • Conference proceedings
  • © 2018

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10773)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: JSSPP 2017.

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Table of contents (10 papers)

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  1. Job Scheduling Strategies for Parallel Processing

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 21st International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2017, held in Orlando, FL, USA, in June 2017.
The 10 revised full papers presented in this book were carefully reviewed and selected from 20 submissions. The papers cover topics in the fields of design and evaluation of new scheduling approaches; performance evaluation of scheduling approaches; workloads; consideration of additional constraints in scheduling systems; scaling and composition of very large scheduling systems; cloud provider issues; interaction between schedulers on different levels; interaction between applications/workloads; experience reports from production systems or large scale compute campaigns. 

Editors and Affiliations

  • CESNET, Prague, Czech Republic

    Dalibor Klusáček

  • Google, Mountain View, USA

    Walfredo Cirne

  • Google, Seattle, USA

    Narayan Desai

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