Cost-Efficient Risk Management with Reserve Repair Crew Planning in CLOUD Computing
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This article addresses a discrete event CLOUD simulator, namely CLOURAM (CLOUD Risk Assessor and Manager) to estimate the risk indices in large CLOUD computing environments, comparing favorably with the intractably theoretical Markov solutions or hand calculations that are limited in scope. The goal is to optimize the quality of a CLOUD operation and what countermeasures to take to minimize threats to the service quality by reserve planning of reserve crew members. Cost and benefit analysis is examined after the solutions.
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