DocumentCode
1707798
Title
Performance Metrics for Data Center Communication Systems
Author
Fiandrino, Claudio ; Kliazovich, Dzmitry ; Bouvry, Pascal ; Zomaya, Albert Y.
Author_Institution
Univ. of Luxembourg -, Luxembourg, Luxembourg
fYear
2015
Firstpage
98
Lastpage
105
Abstract
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.
Keywords
cloud computing; computer centres; cooling; power aware computing; protocols; resource allocation; software performance evaluation; BCube; DCell; IT equipment; Internet; cloud computing communication systems; cloud computing systems; data center architectures; data center communication systems; energy consumption; energy efficiency; fat-tree three-tier; performance assessment; performance metrics; power distribution systems; protocols; service provisioning; shared computing resources; Bandwidth; Cloud computing; Computer architecture; Measurement; Optical switches; Power demand; Servers; Data center; cloud computing; performance and energy efficiency metrics;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Conference_Location
New York City, NY
Print_ISBN
978-1-4673-7286-2
Type
conf
DOI
10.1109/CLOUD.2015.23
Filename
7214033
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