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Monitoring of metrics to identify abnormalities in a large scale distributed computing environment

机译:监视指标以识别大规模分布式计算环境中的异常

摘要

Methods and apparatus, including computer program products, implementing and using techniques for finding application latency degradation causes in an application on a distributed computing system. Variables associated with the application and the computing system are identified, including variables that are candidates for being responsible for latency degradation. A total latency is divided into latency components, that each corresponds to an aspect of the total application latency. Each latency component is divided into study classes, that each includes a subset of the candidate variables. For each study class, combinations are generated for the subset of the variables; a latency distribution is determined for each variable combination; the determined latency distributions for the combinations are compared with corresponding latency benchmark values for the same combinations to determine whether a degradation in latency distributions has occurred for particular combinations among the one or more combinations, and a result is provided to a user.
机译:包括计算机程序产品的方法和装置,其在分布式计算系统上实现和使用用于发现应用程序等待时间下降原因的技术。标识与应用程序和计算系统相关联的变量,包括作为负责延迟降低的候选变量。总等待时间分为几个等待时间组件,每个组件对应于总应用程序等待时间的一个方面。每个潜伏期组件都分为研究类别,每个研究类别都包含候选变量的子集。对于每个学习班,将为变量的子集生成组合。确定每个变量组合的等待时间分布;将确定的组合的等待时间分布与相同组合的对应等待时间基准值进行比较,以确定一个或多个组合中的特定组合是否已经发生等待时间分布的下降,并将结果提供给用户。

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