DocumentCode
173019
Title
Evaluation of Highly Reliable Cloud Computing Systems Using Non-sequential Monte Carlo Simulation
Author
Snyder, Brett ; Devabhaktuni, Vijay ; Alam, M. ; Green, Ron
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
fYear
2014
fDate
June 27 2014-July 2 2014
Firstpage
940
Lastpage
941
Abstract
The cloud computing paradigm has ushered in the need for new methods of evaluating the performance in a given cloud computing systems (CCS) in order to ensure customer and service level agreement satisfaction. This study proposes a method for evaluating the reliability of a CCS alongside the corresponding performance metrics. Specifically, and for the first time, non-sequential Monte Carlo simulation (MCS) is used to evaluate CCS reliability at a system-wide scale. Results demonstrate that the proposed method is promising and may apply to systems at a large scale.
Keywords
Monte Carlo methods; cloud computing; contracts; customer satisfaction; software reliability; CCS reliability evaluating; customer satisfaction; highly reliable cloud computing systems evaluation; nonsequential Monte Carlo simulation; performance metrics; service level agreement satisfaction; Bandwidth; Cloud computing; Computational modeling; Convergence; Monte Carlo methods; Reliability; Servers; Cloud Computing; Monte Carlo simulation; Reliability; System Design;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
Conference_Location
Anchorage, AK
Print_ISBN
978-1-4799-5062-1
Type
conf
DOI
10.1109/CLOUD.2014.133
Filename
6973839
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