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AUTOMATIC IDENTIFICATION OF WORKLOADS CONTRIBUTING TO SYSTEM PERFORMANCE DEGRADATION USING MACHINE LEARNING TECHNIQUES
AUTOMATIC IDENTIFICATION OF WORKLOADS CONTRIBUTING TO SYSTEM PERFORMANCE DEGRADATION USING MACHINE LEARNING TECHNIQUES
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机译:使用机器学习技术自动识别有助于系统性能劣化的工作量
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摘要
Methods, apparatus, and processor-readable storage media for automatic identification of workloads contributing to system performance degradation are provided herein. An example computer-implemented method includes obtaining, in connection with a system exhibiting performance degradation, a primary time series and a set of multiple candidate time series; calculating, using machine learning, similarity measurements between the primary time series and each time series in the set; for each measurement, assigning weights to the time series based on similarity to the primary time series relative to the other time series in the set; generating, for each time series in the set, a similarity score based on the weights assigned across the similarity measurements; and outputting, based on the similarity scores, identification of a candidate time series for use in automated actions.
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