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Performability Modeling for Cloud Service with Check-Pointing Mechanism Considering Hardware and Software Failures

Volume 14, Number 9, September 2018, pp. 2083-2089
DOI: 10.23940/ijpe.18.09.p17.20832089

Xiwei Qiu, Liang Luo, Sa Meng, and Xiaochuan Tang

University of Electronic Science and Technology of China, Chengdu, 611731, China

(Submitted on May 17, 2018; Revised on July 15, 2018; Accepted on August 10, 2018)

Abstract:

Cloud service performance is an important metric that must be considered in detail. Most existing researches study various methods and approaches for evaluating the performance metric; however, these are inadequate because they do not take into account dynamic performance changes caused by reliability factors. In fact, both software failures of a virtual machine (VM) and hardware failures of a server inevitably interrupt the execution of a cloud service and eventually result in more time being spent on completing the cloud service. Meanwhile, the check-pointing mechanism is an important fault tolerant technique that is widely adopted to handle software failures. In this paper, we present a joint modeling approach encompassing Semi-Markov and the Laplace-Stieltjes transform to analyze the reliability-performance correlation for cloud services that adopt the check-pointing fault recovery mechanism. Finally, we present a recursive method to evaluate the expected service time.

 

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