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首页> 外文期刊>International Journal of Performability Engineering >Performability Modeling for Cloud Service with Check-Pointing Mechanism Considering Hardware and Software Failures
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Performability Modeling for Cloud Service with Check-Pointing Mechanism Considering Hardware and Software Failures

机译：考虑硬件和软件故障的检查机制云服务的可操作性建模

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摘要

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.
机译：云服务性能是必须详细考虑的重要指标。 大多数现有研究研究了评估性能度量的各种方法和方法; 但是，这些不充分，因为它们没有考虑到可靠性因素引起的动态性能变化。 实际上，虚拟机的软件故障（VM）和服务器的硬件故障不可避免地中断云服务的执行，最终导致在完成云服务时花费更多时间。 同时，检查机构是一种重要的容错技术，广泛采用来处理软件故障。 在本文中，我们介绍了一个联合建模方法，包括半马尔可夫和Laplace-Stieltjes变换，分析采用检查指向故障恢复机制的云服务的可靠性性能相关性。 最后，我们提出了一种评估预期服务时间的递归方法。

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