Data Center; Cloud Computing; Performance and Energy Efficiency Metrics
Résumé :
[en] Cloud computing has become a de facto approach for service provisioning over the Internet. It operates relying on a pool of shared computing resources available on demand and usually hosted in data centers. Assessing performance and energy efficiency of data centers becomes fundamental. Industries use a number of metrics to assess efficiency and energy consumption of cloud computing systems, focusing mainly on the efficiency of IT equipment, cooling and power distribution systems. However, none of the existing metrics is precise enough to distinguish and analyze the performance of data center communication systems from IT equipment. This paper proposes a framework of new metrics able to assess performance and energy efficiency of cloud computing communication systems, processes and protocols. The proposed metrics have been evaluated for the most common data center architectures including fat-tree three-tier, BCube and DCell.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
FIANDRINO, Claudio ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
KLIAZOVICH, Dzmitry ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
BOUVRY, Pascal ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Zomaya, Albert Y.; University of Sydney
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Performance Metrics for Data Center Communication Systems
Date de publication/diffusion :
juin 2015
Nom de la manifestation :
IEEE International Conference on Cloud Computing
Date de la manifestation :
June 27 - July 2, 2015
Manifestation à portée :
International
Titre de l'ouvrage principal :
8th IEEE International Conference on Cloud Computing, New York, USA, 2015
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