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Journals ACM SIGMETRICS Performance Evaluation Review Volume 24 Issue 1

An Approach Performance to Selecting Metrics Problems for Detecting Systems in Information IBM Joseph L. Hellerstein Thomas J. Watson Research Center Hawthorne, New York 10532 email: jlh@watson.ibm.com Extended Early to limit fmmance utilization detection their Abstract of performance problems Most is essential percommonly, an adverse impact sults from creases in expected vice times. Why mation on interactive arrival performance parameters, that reser- changes in queueing such as inexpected rates or larger scope and impact, are detected metrics. metric problems by applying threshold if CPU value exin not select as detection to each queueing There system? metrics those variables in the inforthat correspond parameter tests to a set of detection is a detection an alarm metrics failing is 80 ™?70,then which detection alarms and/or performance ation, analytic For example, and its threshold is raised if CPU utilization are several reasons why this canvariables making may them ceeds this value. Unfortunately, to detect result. the ad hoc manner problems until not or should not be done. The required by the measurement are collected, are selected often results in false serious To address this situselection power based on for equations not be collected facilities, Even if the necessary measurements available necessary

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An approach to selecting metrics for detecting performance problems in information systems

Hellerstein, Joseph L.
ACM SIGMETRICS Performance Evaluation Review , Volume 24 (1)
Association for Computing Machinery – May 15, 1996

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