Simulations and study of a new scheduling approach for distributeddata production

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00088810" target="_blank" >RIV/00216224:14330/16:00088810 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61389005:_____/16:00506284

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Simulations and study of a new scheduling approach for distributeddata production

Popis výsledku v původním jazyce

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).

Název v anglickém jazyce

Simulations and study of a new scheduling approach for distributeddata production

Popis výsledku anglicky

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).

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Journal of Physics: Conference Series, vol. 762

ISBN

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ISSN

1742-6588

e-ISSN

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Počet stran výsledku

7

Strana od-do

012023

Název nakladatele

Institute of Physics Publishing

Místo vydání

United Kingdom

Místo konání akce

Valparaíso, Chile

Datum konání akce

1. 1. 2016

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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