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Simulations and study of a new scheduling approach for distributed data production

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389005%3A_____%2F16%3A00506284" target="_blank" >RIV/61389005:_____/16:00506284 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14330/16:00088810

  • Result on the web

    <a href="http://dx.doi.org/10.1088/1742-6596/762/1/012023" target="_blank" >http://dx.doi.org/10.1088/1742-6596/762/1/012023</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1742-6596/762/1/012023" target="_blank" >10.1088/1742-6596/762/1/012023</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Simulations and study of a new scheduling approach for distributed data production

  • Original language description

    Distributed data processing has found its application in many fields of science (High Energy and Nuclear Physics (HENP), astronomy, biology to name only those). We have focused our research on distributed data production, an essential part of computations in HENP. Using our previous experience, we have recently proposed a new scheduling approach for distributed data production which is based on the network flow maximization model. It has a polynomial complexity providing required scalability with respect to the size of computations. Our approach improves the overall data production throughput due to three factors: transfer input files in advance before their processing (allows to decrease I/O latency). Balancing of the network traffic (includes splitting the load between several alternative transfer paths), and transfer files sequentially in a coordinated manner (allows to reduce the influence of possible network bottlenecks). In this contribution, we present the results of our new simulations based on the GridSim framework which is one of the commonly used tools in the field of distributed computations. In these simulations we study the behavior of standard scheduling approaches compared to our recently proposed approach in a realistic environment relying on the data from the STAR and ATLAS experiments and considering the influence of the background traffic. The final goal of the research is to integrate the proposed scheduling approach into the real data production framework. In order to achieve this we are constantly moving our simulations towards real use cases, study scalability of the model and the influence of the scheduling parameters on the quality of the solution.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10304 - Nuclear physics

Result continuities

  • Project

    <a href="/en/project/LG15001" target="_blank" >LG15001: Participation of the Czech Republic in experiments at Brookhaven National Laboratory, USA</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Journal of Physics Conference Series

  • ISBN

  • ISSN

    1742-6588

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    012023

  • Publisher name

    IOP Publishing

  • Place of publication

    Bristol

  • Event location

    Valparaiso

  • Event date

    Jan 18, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000439689600023