CLOUD Computing: Cost-effective Risk Management with Additional Product Deployment

https://doi.org/10.1016/j.procs.2015.08.395Get rights and content
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Abstract

This article addresses a discrete event CLOUD simulator and manager, CLOURAM 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 additional product capacity to be deployed. Following, cost and benefit analysis is demonstrated.

Keywords

CLOUD Computing
discrete event simulation
reserve planning
product deployment
cost and benefit
breakeven.

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Peer-review under responsibility of organizing committee of The 2015 International Conference on Soft Computing and Software Engineering (SCSE 2015).