Job Scheduling Strategies for Parallel Processing

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

  • Dalibor Klusáček
  • Walfredo Cirne
  • Narayan Desai
Conference proceedings JSSPP 2017

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

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10773)

Table of contents

  1. Front Matter
    Pages I-IX
  2. William Allcock, Paul Rich, Yuping Fan, Zhiling Lan
    Pages 1-24
  3. Dalibor Klusáček, Boris Parák
    Pages 25-42
  4. Jérôme Lelong, Valentin Reis, Denis Trystram
    Pages 43-61
  5. Tchimou N’takpé, Frédéric Suter
    Pages 62-82
  6. Daihou Wang, Eun-Sung Jung, Rajkumar Kettimuthu, Ian Foster, David J. Foran, Manish Parashar
    Pages 83-102
  7. Ryan D. Friese, Mahantesh Halappanavar, Arun V. Sathanur, Malachi Schram, Darren J. Kerbyson, Luis de la Torre
    Pages 103-121
  8. Erich Lohrmann, Zarija Lukić, Dmitriy Morozov, Juliane Müller
    Pages 122-131
  9. Gonzalo P. Rodrigo, Erik Elmroth, Per-Olov Östberg, Lavanya Ramakrishnan
    Pages 152-173
  10. Victor Lopez, Ana Jokanovic, Marco D’Amico, Marta Garcia, Raul Sirvent, Julita Corbalan
    Pages 174-188
  11. Back Matter
    Pages 189-189

About these proceedings

Introduction

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. 

Keywords

Parallel computing Parallel processing Distributed systems Scheduling Job scheduling System modeling Workload modeling System evaluation Performance optimization Simulation Cloud computing Grid computing scheduling algorithms resource allocation processors scheduling problem

Editors and affiliations

  • Dalibor Klusáček
    • 1
  • Walfredo Cirne
    • 2
  • Narayan Desai
    • 3
  1. 1.CESNETPragueCzech Republic
  2. 2.GoogleMountain ViewUSA
  3. 3.GoogleSeattleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-77398-8
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-77397-1
  • Online ISBN 978-3-319-77398-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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