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Analytical performance model for mobile network operator cloud

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Abstract

The characteristics of mobile cloud computing (MCC) including, mobility, the instability of 3G/WiFi connections, and the complexity of virtualization, make the prediction of performance challenging. To deal with these issues, an analytical performance model consisting of stochastic sub-models is proposed. Furthermore, to obtain outputs of the sub-models and the overall result, a Markov reward approach is applied. Closed-form solutions of the sub-models are also presented. Specifically, this study models a type of MCC known as mobile network operator cloud (MNOC) in which the mobile devices receive services from the MNOC via 3G connection. The performance of such a class of MCC is affected by a varied set of parameters, such as handoff failure and workload. The model illustrates the impact of the parameters on two important performance measures: request rejection probability and mean response delay. Using the SHARPE software package, the model is solved and numerical results presented. Moreover, the analytical results are verified through discrete-event simulation.

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Correspondence to Hassan Raei.

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Raei, H., Yazdani, N. Analytical performance model for mobile network operator cloud. J Supercomput 71, 4555–4577 (2015). https://doi.org/10.1007/s11227-015-1551-4

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