允许部分故障的云计算系统可靠性和利用率评估

Congyingzi Zhang, Robert C. Green, Mansoor Alam
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引用次数: 7

摘要

在云计算系统(CCS)中保持高可靠性和设备利用率对任何云服务提供商来说都是至关重要的,如果他们不能做好这两件事,他们将面临高额罚款和收入损失。本研究提出在CCS中允许设备部分故障以实现优雅的服务降级,将有助于在不为系统购买额外资源的情况下获得更高的系统可靠性和设备利用率。建立了一个模型来表示由多状态设备组成的多状态系统。用非顺序蒙特卡罗仿真(MCS)对系统模型的可靠性和器件利用率进行了评估。初步结果表明,引入和增加设备多状态可以提高CCS在设备故障时的可靠性。此外,对于不太可靠的设备(如HDD),结果建议使用更高的多状态,以补偿它们的脆弱性和对系统性能的负面影响。在本研究中,提出了一个沿所有设备尺寸的利用率指数,以明智地决定如何以较低的成本维持一个平衡和高利用率的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability and Utilization Evaluation of a Cloud Computing System Allowing Partial Failures
Maintaining high reliability and device utilization in a cloud computing system (CCS) is crucial to any cloud service provider who will face high penalties and lose revenues if they fail to be good at both. This study proposes that allowing device partial failure in a CCS for graceful service degrading would help to obtain higher system reliability and device utilization without purchasing extra resource for the system. A model is created to represent such a multi-state system composed of multi-state devices. The system model is evaluated with Non-sequential Monte Carlo Simulation (MCS) on its reliability and device utilization. The preliminary results positively suggest that introducing and adding device multi-state increases the CCS reliability against device failures during simulation. Also, for the less reliable devices, like HDD, the results recommended a higher multi-state to compensate for their vulnerability and negative effect on system performance. A utilization index along all device dimensions is proposed in this research for a wise decision about maintaining a well-balanced and high utilized system at a lower cost.
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