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Detecting Unhealthy Cloud System Status

机译:检测不健康的云系统状态

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摘要

In this paper, in order to detect the unhealthy status in the cloud system, a Basic Detection Strategy and a Threshold Strategy based on mathematic theory and statistical knowledge is proposed to solve this problem. By introducing unhealthy status percentage parameter α, both Basic Detection Strategy and Threshold Strategy are combined to detect and monitor the unhealthy cloud system status. For illustration, an eBay company example is utilized to show the feasibility of Basic Detection Strategy and Threshold Strategy. Empirical results show that Basic Detection Strategy with setting a suitable value to α can pinpoint most of unhealthy status in the cloud system, however, for some special unhealthy status, it must adopt the Threshold Strategy to pinpoint. The combination of Basic Detection Strategy and Threshold Strategy can effectively detect and pinpoint the unhealthy status in the cloud system and help staff to improve the performance of cloud system.
机译:为了检测云系统中的不良状态,提出了一种基于数学理论和统计知识的基本检测策略和阈值策略来解决该问题。通过引入不健康状态百分比参数α,将基本检测策略和阈值策略结合起来以检测和监视不健康云系统状态。为了说明起见,利用一个eBay公司示例来说明“基本检测策略”和“阈值策略”的可行性。实证结果表明,将适当的值设置为α的基本检测策略可以查明云系统中的大多数不健康状态,但是,对于某些特殊的不健康状态,必须采用阈值策略来查明。基本检测策略和阈值策略的结合可以有效地检测并查明云系统中的不良状况,并帮助员工提高云系统的性能。

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