Evaluation of Highly Reliable Cloud Computing Systems Using Non-sequential Monte Carlo Simulation

Brett Snyder, Robert Green, Vijay Devabhaktuni, Mansoor Alam · 2014

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.

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