Study of cache performance in distributed environment for data processing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389005%3A_____%2F14%3A00433186" target="_blank" >RIV/61389005:_____/14:00433186 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1088/1742-6596/523/1/012016" target="_blank" >http://dx.doi.org/10.1088/1742-6596/523/1/012016</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1742-6596/523/1/012016" target="_blank" >10.1088/1742-6596/523/1/012016</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Study of cache performance in distributed environment for data processing

Popis výsledku v původním jazyce

Processing data in distributed environment has found its application in many fields of science (Nuclear and Particle Physics (NPP), astronomy, biology to name only those). Efficiently transferring data between sites is an essential part of such processing. The implementation of caching strategies in data transfer software and tools, such as the Reasoner for Intelligent File Transfer (RIFT) being developed in the STAR collaboration, can significantly decrease network load and waiting time by reusing theknowledge of data provenance as well as data placed in transfer cache to further expand on the availability of sources for files and data-sets. Though, a great variety of caching algorithms is known, a study is needed to evaluate which one can deliver the best performance in data access considering the realistic demand patterns. Records of access to the complete data-sets of NPP experiments were analyzed and used as input for computer simulations. Series of simulations were done in order

Název v anglickém jazyce

Study of cache performance in distributed environment for data processing

Popis výsledku anglicky

Processing data in distributed environment has found its application in many fields of science (Nuclear and Particle Physics (NPP), astronomy, biology to name only those). Efficiently transferring data between sites is an essential part of such processing. The implementation of caching strategies in data transfer software and tools, such as the Reasoner for Intelligent File Transfer (RIFT) being developed in the STAR collaboration, can significantly decrease network load and waiting time by reusing theknowledge of data provenance as well as data placed in transfer cache to further expand on the availability of sources for files and data-sets. Though, a great variety of caching algorithms is known, a study is needed to evaluate which one can deliver the best performance in data access considering the realistic demand patterns. Records of access to the complete data-sets of NPP experiments were analyzed and used as input for computer simulations. Series of simulations were done in order

Druh

D - Stať ve sborníku

CEP obor

BG - Jaderná, atomová a molekulová fyzika, urychlovače

OECD FORD obor

—

Projekt

<a href="/cs/project/GA13-20841S" target="_blank" >GA13-20841S: Studium jaderné hmoty v ultra-relativistických jaderných srážkách na urychlovači RHIC</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

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

ISBN

—

ISSN

1742-6588

e-ISSN

—

Počet stran výsledku

8

Strana od-do

—

Název nakladatele

IOP Publishing Ltd

Místo vydání

Bristol

Místo konání akce

Beijing

Datum konání akce

16. 5. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000339627300016