Job Scheduling Strategies for Parallel Processing

18th International Workshop, JSSPP 2014, Phoenix, AZ, USA, May 23, 2014. Revised Selected Papers

  • Walfredo Cirne
  • Narayan Desai
Conference proceedings JSSPP 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8828)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 8828)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Dongyou Seo, Myungsun Kim, Hyeonsang Eom, Heon Y. Yeom
    Pages 1-16
  3. Alexander Herz, Chris Pinkau
    Pages 17-35
  4. Dalibor Klusáček, Hana Rudová
    Pages 53-69
  5. Gonzalo P. Rodrigo, Per-Olov Östberg, Erik Elmroth
    Pages 70-89
  6. Šimon Tóth, Dalibor Klusáček
    Pages 90-107
  7. Aleksandra Kuzmanovska, Rudolf H. Mak, Dick Epema
    Pages 129-146
  8. Uwe Schwiegelshohn
    Pages 147-167
  9. Back Matter
    Pages 169-169

About these proceedings


This book constitutes the thoroughly refereed post-conference proceedings of the 18th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2014, held in Phoenix, AZ, USA, in May 2014. The 9 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers cover the following topics: single-core parallelism; moving to distributed-memory, larger-scale systems, scheduling fairness; and parallel job scheduling.


cloud computing distributed systems global earliest deadline first grid computing high performance computing load balancing optimization parallel jobs parallel scheduling parallel workloads parallelism performance real-time systems scheduling scheduling simulation scientific workflows soft real-time systems stretching techniques supercomputer

Editors and affiliations

  • Walfredo Cirne
    • 1
  • Narayan Desai
    • 2
  1. 1.GoogleMountain ViewUSA
  2. 2.EricssonSan JoseUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-15788-7
  • Online ISBN 978-3-319-15789-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site