loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jukka Kommeri 1 ; Aleksi Vartiainen 1 ; Seppo Heikkilä 2 and Tapio Niemi 2

Affiliations: 1 Helsinki Institute of Physics, Finland ; 2 Helsinki Institute of Physics, CERN, Switzerland

Keyword(s): OpenStack, Network, Latency, Energy efficiency, Scientific Computing.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.222.142.210

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kommeri, J.; Vartiainen, A.; Heikkilä, S. and Niemi, T. (2016). The Effect of Network Performance on High Energy Physics Computing. In Proceedings of the Sixth International Symposium on Business Modeling and Software Design - BMSD; ISBN 978-989-758-190-8, SciTePress, pages 227-234. DOI: 10.5220/0006224202270234

@conference{bmsd16,
author={Jukka Kommeri. and Aleksi Vartiainen. and Seppo Heikkilä. and Tapio Niemi.},
title={The Effect of Network Performance on High Energy Physics Computing},
booktitle={Proceedings of the Sixth International Symposium on Business Modeling and Software Design - BMSD},
year={2016},
pages={227-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006224202270234},
isbn={978-989-758-190-8},
}

TY - CONF

JO - Proceedings of the Sixth International Symposium on Business Modeling and Software Design - BMSD
TI - The Effect of Network Performance on High Energy Physics Computing
SN - 978-989-758-190-8
AU - Kommeri, J.
AU - Vartiainen, A.
AU - Heikkilä, S.
AU - Niemi, T.
PY - 2016
SP - 227
EP - 234
DO - 10.5220/0006224202270234
PB - SciTePress