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

doi:10.23940/ijpe.18.09.p17.20832089

Abstract

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.

Key words: cloud service, check-pointing mechanism, hardware failures, software failures

Xiwei Qiu, Liang Luo, Sa Meng, and Xiaochuan Tang. Performability Modeling for Cloud Service with Check-Pointing Mechanism Considering Hardware and Software Failures [J]. Int J Performability Eng, 2018, 14(9): 2083-2089.

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