Using Queueing Theory for Controlling the Number of Computing Servers

Samuli Aalto; Mark Sevalnev; Tapio Niemi; Jukka Kommeri

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Paper

Using Queueing Theory for Controlling the Number of Computing Servers

In Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - Volume 1: ICGREEN, 83-88, 2012 , Geneva, Switzerland

Authors: Samuli Aalto ¹ ; Mark Sevalnev ¹ ; Tapio Niemi ² and Jukka Kommeri ³

Affiliations: ¹ Aalto University, Finland ; ² CERN, Switzerland ; ³ Helsinki Institute of Physics, Finland

Keyword(s): Energy Efficiency, Scientific Computing, Queueing Theory.

Abstract: We have tested how queueing theory can be applied to improve energy efficiency of scientific computing clusters. Our method calculates the number of required servers based on the arrival rate of computing jobs and turns on and off computing nodes based on this estimate. Our tests indicated that this method decreases energy consumption. However simultaneously the average lead time tends to increase because of higher waiting times in cases when the arrival intensity goes up.

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Paper citation in several formats:

Aalto, S.; Sevalnev, M.; Niemi, T. and Kommeri, J. (2012). Using Queueing Theory for Controlling the Number of Computing Servers. In Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - ICGREEN; ISBN 978-989-8565-27-3, SciTePress, pages 83-88. DOI: 10.5220/0004474900830088

@conference{icgreen12,
author={Samuli Aalto. and Mark Sevalnev. and Tapio Niemi. and Jukka Kommeri.},
title={Using Queueing Theory for Controlling the Number of Computing Servers},
booktitle={Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - ICGREEN},
year={2012},
pages={83-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004474900830088},
isbn={978-989-8565-27-3},
}

TY - CONF

JO - Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - ICGREEN
TI - Using Queueing Theory for Controlling the Number of Computing Servers
SN - 978-989-8565-27-3
AU - Aalto, S.
AU - Sevalnev, M.
AU - Niemi, T.
AU - Kommeri, J.
PY - 2012
SP - 83
EP - 88
DO - 10.5220/0004474900830088
PB - SciTePress