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Performance Metrics for Data Center Communication Systems
Fiandrino, Claudio; Kliazovich, Dzmitry; Bouvry, Pascal et al.
2015In 8th IEEE International Conference on Cloud Computing, New York, USA, 2015
Peer reviewed
 

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Keywords :
Data Center; Cloud Computing; Performance and Energy Efficiency Metrics
Abstract :
[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 :
Computer science
Author, co-author :
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
External co-authors :
yes
Language :
English
Title :
Performance Metrics for Data Center Communication Systems
Publication date :
June 2015
Event name :
IEEE International Conference on Cloud Computing
Event date :
June 27 - July 2, 2015
Audience :
International
Main work title :
8th IEEE International Conference on Cloud Computing, New York, USA, 2015
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 24 April 2015

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