The Effect of Networking Performance on High Energy Physics Computing

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http://hdl.handle.net/10138/175713

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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 .

Title: The Effect of Networking Performance on High Energy Physics Computing
Author: Kommeri, Jukka Antero; Vartiainen, Harri Aleksi; Heikkilä, Seppo Sakari; Niemi, Tapio Petteri
Editor: Shishkov, Boris
Contributor: University of Helsinki, Helsinki Institute of Physics
University of Helsinki, Helsinki Institute of Physics
University of Helsinki, Helsinki Institute of Physics
University of Helsinki, Helsinki Institute of Physics
Publisher: SciTePress
Date: 2016
Number of pages: 8
Belongs to series: BMSD 2016 International Symposium on Business Modeling and Software Design Rhodes, Greece 20-22 June 2016
ISBN: 978-989-758-190-8
URI: http://hdl.handle.net/10138/175713
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.
Subject: 114 Physical sciences
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