The Effect of Networking Performance on High Energy Physics Computing

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dc.contributor University of Helsinki, Helsinki Institute of Physics en
dc.contributor University of Helsinki, Helsinki Institute of Physics en
dc.contributor University of Helsinki, Helsinki Institute of Physics en
dc.contributor University of Helsinki, Helsinki Institute of Physics en
dc.contributor.author Kommeri, Jukka Antero
dc.contributor.author Vartiainen, Harri Aleksi
dc.contributor.author Heikkilä, Seppo Sakari
dc.contributor.author Niemi, Tapio Petteri
dc.contributor.editor Shishkov, Boris
dc.date.accessioned 2017-02-20T16:35:01Z
dc.date.available 2017-02-20T16:35:01Z
dc.date.issued 2016
dc.identifier.citation Kommeri , J A , Vartiainen , H A , Heikkilä , S S & Niemi , T P 2016 , The Effect of Networking Performance on High Energy Physics Computing . in B Shishkov (ed.) , BMSD 2016 : International Symposium on Business Modeling and Software Design Rhodes, Greece 20-22 June 2016 . SciTePress , pp. 227-234 , International Symposium on Business Modeling and Software Design , Rhodes , Greece , 20/06/2016 . en
dc.identifier.citation conference en
dc.identifier.isbn 978-989-758-190-8
dc.identifier.other PURE: 78319201
dc.identifier.other PURE UUID: f75fb400-96bc-4520-b678-bfe0642740f6
dc.identifier.uri http://hdl.handle.net/10138/175713
dc.description.abstract High Energy Physics (HEP) data analysis consists of simulating and analysing events in particle physics. In order to understand physics phenomena, one must collect and go through a very large quantity of data generated by particle accelerators and software simulations. This data analysis can be done using the cloud computing paradigm in distributed computing environment where data and computation can be located in different, geographically distant, data centres. This adds complexity and overhead to networking. In this paper, we study how the networking solution and its performance affects the efficiency and energy consumption of HEP computing. Our results indicate that higher latency both prolongs the processing time and increases the energy consumption. en
dc.format.extent 8
dc.language.iso eng
dc.publisher SciTePress
dc.relation.ispartof BMSD 2016 International Symposium on Business Modeling and Software Design Rhodes, Greece 20-22 June 2016
dc.relation.uri http://www.is-bmsd.org/Documents/ProceedingsOfSixthBMSD.pdf
dc.rights en
dc.subject 114 Physical sciences en
dc.title The Effect of Networking Performance on High Energy Physics Computing en
dc.type Conference contribution
dc.type.uri info:eu-repo/semantics/other
dc.contributor.pbl

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