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Improving Accuracy of Walltime Estimates in PBS Professional Using Soft Walltimes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F23%3A10133549" target="_blank" >RIV/63839172:_____/23:10133549 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-22698-4_10" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-22698-4_10</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-22698-4_10" target="_blank" >10.1007/978-3-031-22698-4_10</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improving Accuracy of Walltime Estimates in PBS Professional Using Soft Walltimes

  • Original language description

    Job walltime estimates are used by current batch schedulers to optimize the performance and predictability when scheduling parallel jobs on the computing resources. Since the user-provided estimates are inaccurate and often overestimated, system administrators often seek ways to improve them artificially using some form of walltime predictor. In this work, we present our real-life experience with deploying such a predictor using the soft walltime feature available in PBS Professional resource manager. Our results indicate that the applied solution is working properly, significantly increasing the accuracy of user-provided estimates. We share our experience when tuning the scheduler, discussing several problems that occurred along the way. Also, we provide a comparison of how the system behavior evolved once soft walltimes were deployed in production. Last but not least, we publish collected workload traces along with this paper to allow other researchers to further study and extend our work.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Job Scheduling Strategies for Parallel Processing

  • ISBN

    978-3-031-22697-7

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    19

  • Pages from-to

    192-210

  • Publisher name

    Springer

  • Place of publication

    Switzerland

  • Event location

    virtual event

  • Event date

    Jun 3, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000972597400011