Job Scheduling Strategies for Parallel Processing

19th and 20th International Workshops, JSSPP 2015, Hyderabad, India, May 26, 2015 and JSSPP 2016, Chicago, IL, USA, May 27, 2016, Revised Selected Papers

  • Narayan Desai
  • Walfredo Cirne
Conference proceedings JSSPP 2015, JSSPP 2016
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10353)

Table of contents

  1. Front Matter
    Pages I-X
  2. JSSPP 2015

    1. Front Matter
      Pages 1-1
    2. Florian Negele, Felix Friedrich, Suwon Oh, Bernhard Egger
      Pages 22-45
    3. Chanseok Kang, Seungyul Lee, Yong-Jun Lee, Jaejin Lee, Bernhard Egger
      Pages 46-68
    4. Dalibor Klusáček, Šimon Tóth, Gabriela Podolníková
      Pages 83-101
    5. Joseph Emeras, Sébastien Varrette, Mateusz Guzek, Pascal Bouvry
      Pages 102-122
  3. JSSPP 2016

    1. Front Matter
      Pages 139-139
    2. Jens Breitbart, Josef Weidendorfer, Carsten Trinitis
      Pages 141-157
    3. Younghyun Cho, Surim Oh, Bernhard Egger
      Pages 158-177
    4. Pierre-François Dutot, Michael Mercier, Millian Poquet, Olivier Richard
      Pages 178-197
    5. Dalibor Klusáček, Václav Chlumský
      Pages 198-216
    6. Jose A. Pascual, Jose A. Lozano, Jose Miguel-Alonso
      Pages 232-251
    7. Zhenyun Zhuang, Min Shen, Haricharan Ramachandra, Suja Viswesan
      Pages 252-273
    8. Narayan Desai, Walfredo Cirne
      Pages 274-278
  4. Back Matter
    Pages 279-279

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 19th and 20th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2015 and 2016, held respectively in Hyderabad, India, on May 26, 2015 and in Chicago, IL, USA, on May 27, 2016. The 14 revised full papers presented (7 papers in 2015 and 7 papers in 2016) were carefully reviewed and selected from 28 submissions (14 in 2015 and 14 in 2016).

The papers cover the following topics: parallel scheduling raising challenges multiple levels of abstractions; node level parallelism; minimization of energy consumption in task migration within a many-core chip; task  replication in real-time scheduling context; data-driven approach to schedule GPU load; the use of lock-free data structures in OS scheduler; the influence  between user behaviour (think time, more precisely) and parallel scheduling; Evalix, a predictor for job resource consumption; sophisticated and realistic simulation; space-filling curves leading to better scheduling of large-scale computers; discussion of real-life production experiences.

Keywords

Scheduling Resource Management Cloud Computing High-Performance Computing distributed systems global earliest deadline first grid computing load balancing optimization parallel jobs parallel scheduling parallel workloads performance real-time systems scheduling scheduling simulation scientific workflows soft real-time systems stretching techniques supercomputer

Editors and affiliations

  • Narayan Desai
    • 1
  • Walfredo Cirne
    • 2
  1. 1.GoogleSeattleUSA
  2. 2.GoogleMountain ViewUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61756-5
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-61755-8
  • Online ISBN 978-3-319-61756-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349