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Job Scheduling Strategies for Parallel Processing

22nd International Workshop, JSSPP 2018, Vancouver, BC, Canada, May 25, 2018, Revised Selected Papers

  • Dalibor Klusáček
  • Walfredo Cirne
  • Narayan Desai
Conference proceedings JSSPP 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11332)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11332)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Mehmet Soysal, Marco Berghoff, Achim Streit
    Pages 1-14
  3. Dalibor Klusáček, Václav Chlumský
    Pages 15-38
  4. Frédéric Azevedo, Luc Gombert, Frédéric Suter
    Pages 39-60
  5. Andre Merzky, Matteo Turilli, Manuel Maldonado, Mark Santcroos, Shantenu Jha
    Pages 61-82
  6. Ramin Bashizade, Yuxuan Li, Alvin R. Lebeck
    Pages 83-106
  7. Tanveer Hossain Bhuiyan, Mahantesh Halappanavar, Ryan D. Friese, Hugh Medal, Luis de la Torre, Arun Sathanur et al.
    Pages 107-126
  8. Ahmed Abdelmoamen, Dezhong Wang, Nadeem Jamali
    Pages 127-146
  9. Back Matter
    Pages 147-147

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 22nd International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2018, held in Vancouver, Canada, in May 2018.

The 7 revised full papers presented were carefully reviewed and selected from12 submissions. The papers cover topics in the fields of design and evaluation of new scheduling approaches. They focus on several interesting problems in resource management and scheduling.

Keywords

cloud computing computer systems distributed computer systems grid computing job scheduling multi-tenancy parallel processing performance optimization program compilers programming models runtime systems semantics Service-Oriented Architecture (SOA) workload modeling

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/10.1007/978-3-030-10632-4
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-10631-7
  • Online ISBN 978-3-030-10632-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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