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METHODS AND SYSTEMS FOR CHARACTERIZING COMPUTING SYSTEM PERFORMANCE USING PEER-DERIVED PERFORMANCE SEVERITY AND SYMPTOM SEVERITY MODELS

机译:使用对等性能严重度和症状严重度模型表征计算系统性能的方法和系统

摘要

An assessment of computing system performance may include evaluating, within a time window, the average latency of operations of a certain type and size with respect to a peer performance model constructed for operations of the same type and size. Such evaluation may result in the determination of a peer performance score. The peer performance score may be used to label performance characteristics of the computing system that are measured within the same time window. A library of such performance characteristics labeled with respective peer performance scores may be constructed by examining multiple computing systems, and such library may be used to construct one or more symptom models. Each symptom model may map a performance characteristic to a symptom severity score, which indicates the severity of a symptom of the computing system.
机译:对计算系统性能的评估可以包括:在时间窗口内,相对于为相同类型和大小的操作构建的对等性能模型,评估特定类型和大小的操作的平均等待时间。这样的评估可以导致对等绩效分数的确定。对等性能分数可以用于标记在同一时间窗口内测量的计算系统的性能特征。可以通过检查多个计算系统来构建以各自的对等性能分数标记的这种性能特征的库,并且可以将该库用于构建一个或多个症状模型。每个症状模型可以将性能特征映射到症状严重性得分,该症状严重性得分指示计算系统的症状的严重性。

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