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
fDate :
June 27 2014-July 2 2014
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;
Conference_Titel :
Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5062-1
DOI :
10.1109/CLOUD.2014.133