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Job Scheduling Strategies for Parallel Processing

24th International Workshop, JSSPP 2021, Virtual Event, May 21, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Dalibor Klusáček

    1. CESNET, Prague, Czech Republic

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  2. Walfredo Cirne

    1. Google, Mountain View, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Gonzalo P. Rodrigo

    1. Apple, Cupertino, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12985)

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

Included in the following conference series:

Conference proceedings info: JSSPP 2021.

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Table of contents (11 papers)

  1. Front Matter

    Pages i-xii
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  3. Open Scheduling Problems and Proposals

    1. Front Matter

      Pages 33-33
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    2. Collection of Job Scheduling Prediction Methods

      • Mehmet Soysal, Achim Streit
      Pages 35-42

    3. Modular Workload Format: Extending SWF for Modular Systems

      • Julita Corbalan, Marco D’Amico
      Pages 43-55

  4. Technical Papers

    1. Front Matter

      Pages 57-57
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    2. Measurement and Modeling of Performance of HPC Applications Towards Overcommitting Scheduling Systems

      • Shohei Minami, Toshio Endo, Akihiro Nomura
      Pages 59-79

    3. Scheduling Microservice Containers on Large Core Machines Through Placement and Coalescing

      • Vishal Rao, Vishnu Singh, K. S. Goutham, Bharani Ujjaini Kempaiah, Ruben John Mampilli, Subramaniam Kalambur et al.
      Pages 80-100

    4. Learning-Based Approaches to Estimate Job Wait Time in HTC Datacenters

      • Luc Gombert, Frédéric Suter
      Pages 101-125

    5. A HPC Co-scheduler with Reinforcement Learning

      • Abel Souza, Kristiaan Pelckmans, Johan Tordsson
      Pages 126-148

    6. Performance-Cost Optimization of Moldable Scientific Workflows

      • Marta Jaros, Jiri Jaros
      Pages 149-167

    7. Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS

      • Christoph Kessler, Jörg Keller, Sebastian Litzinger
      Pages 168-189

    8. Scheduling Challenges for Variable Capacity Resources

      • Chaojie Zhang, Andrew A. Chien
      Pages 190-209

    9. GLUME: A Strategy for Reducing Workflow Execution Times on Batch-Scheduled Platforms

      • Evan Hataishi, Pierre-François Dutot, Rafael Ferreira da Silva, Henri Casanova
      Pages 210-230

  5. Back Matter

    Pages 231-231
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  1. Job Scheduling Strategies for Parallel Processing

Keywords

About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2021, held as a virtual event in May 2021 (due to the Covid-19 pandemic).

The 10 revised full papers presented were carefully reviewed and selected from 17 submissions. In addition to this, one keynote paper was included in the workshop. The volume contains two sections: Open Scheduling Problems and Proposals and Technical Papers. The papers cover such topics as parallel computing, distributed systems, workload modeling, performance optimization, and others.

Editors and Affiliations

  • CESNET, Prague, Czech Republic

    Dalibor Klusáček

  • Google, Mountain View, USA

    Walfredo Cirne

  • Apple, Cupertino, USA

    Gonzalo P. Rodrigo

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