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Modeling Approach Combining Performance and Reliability for Mobile Cloud System

Volume 14, Number 8, August 2018, pp. 1877-1886
DOI: 10.23940/ijpe.18.08.p26.18771886

Han Xua, Haiqing Wangb, Liang Luoa, Xiwei Qiua, Sa Menga, and Xun Guoa

aUniversity of Electronic Science and Technology of China, Chengdu, 610000, China
bThe 28th Research Institute of China Electronics Technology Group Corporation, Nanjing, 210007, China

(Submitted on May 16, 2018; Revised on June 20, 2018; Accepted on July 21, 2018)

Abstract:

In recent years, cloud computing has been wildly used to improve the quality of mobile services in wireless networks. The ability of cloud computing gives the new mobile cloud system (MCS) the power to provide high-performance services. However, these services may be interrupted by random resource failures, such as network failures and virtual machine (VM) failures, which extremely affect the service performance in real-life scenarios. In this paper, we present a theoretical modeling approach to evaluate the service performance of the MCS, which takes into consideration the impact of reliability on service performance. The queue theory and the Markov chain are first used to model the performance and the reliability. In reliability modeling, the network failure and VM failure are considered. Then, a Bayesian method is applied to connect the performance and the reliability, and a correlation metric is proposed. Finally, numerical examples are illustrated.

 

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