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Job simulation for large-scale PBS based clusters with the Maui Scheduler

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F18%3A10239712" target="_blank" >RIV/61989100:27740/18:10239712 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.iadisportal.org/digital-library/iadis-international-conference-theory-and-practice-in-modern-computing-2018-part-of-mccsis-2018" target="_blank" >http://www.iadisportal.org/digital-library/iadis-international-conference-theory-and-practice-in-modern-computing-2018-part-of-mccsis-2018</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Job simulation for large-scale PBS based clusters with the Maui Scheduler

  • Original language description

    For large-scale High Performance Computing centers with a wide range of different projects and heterogeneous infrastructures, efficiency is an important consideration. Understanding how compute jobs are scheduled is necessary for improving the job scheduling strategies in order to optimize cluster utilization and job wait times. This increases the importance of a reliable simulation capability, which in turn requires accuracy and comparability with historic workloads from the cluster. Not all job schedulers have a simulation capability, including the Portable Batch System (PBS) resource manager. Hence, PBS based centers have no direct way to simulate changes and optimizations before they are applied to the production system. We propose and discuss how to run job simulations for large-scale PBS based clusters with the Maui Scheduler. For validation purposes, we use historic workloads collected at the IT4Innovations supercomputing center, and demonstrate the viability of our approach. We are confident that our approach is also transferable to enable job simulations for other computing centers using PBS.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MCCSIS 2018 - Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2018, Theory and Practice in Modern Computing 2018 and Connected Smart Cities 2018

  • ISBN

    978-989-8533-80-7

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    9

  • Pages from-to

    137-145

  • Publisher name

    IADIS

  • Place of publication

    Lisabon

  • Event location

    Madrid

  • Event date

    Jul 17, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article