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Towards optimal supercomputer energy consumption forecasting method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F21%3A10248132" target="_blank" >RIV/61989100:27740/21:10248132 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.3390/math9212695" target="_blank" >https://doi.org/10.3390/math9212695</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/math9212695" target="_blank" >10.3390/math9212695</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards optimal supercomputer energy consumption forecasting method

  • Original language description

    Accurate prediction methods are generally very computationally intensive, so they take a long time. Quick prediction methods, on the other hand, are not very accurate. Is it possible to design a prediction method that is both accurate and fast? In this paper, a new prediction method is proposed, based on the so-called random time-delay patterns, named the RTDP method. Using these random time-delay patterns, this method looks for the most important parts of the time series&apos; previous evolution, and uses them to predict its future development. When comparing the supercomputer infrastructure power consumption prediction with other commonly used prediction methods, this newly proposed RTDP method proved to be the most accurate and the second fastest. (C) 2021 by the authors. Licensee MDPI, Basel Switzerland.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Mathematics

  • ISSN

    2227-7390

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    21

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    9

  • Pages from-to

  • UT code for WoS article

    000719579900001

  • EID of the result in the Scopus database

    2-s2.0-85117810207