Statistical Performance Monitoring
نویسندگان
چکیده
Traditional performance monitoring methods have an overhead that is proportional in both space and time to the spill rate. They are not scalable in a distributed computing environment of hundreds or even thousands of managed nodes; the large quantity of data collected cannot be pushed or pulled efficiently across the network for displaying/reporting. In this paper we propose a few scalable alternatives, such as only sending and displaying (at a lower frequency) essential data/information (mean, standard deviation, exceptional values, etc.) for each metric and show that the restricted data can actually help highlight important performance information about system status.
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تاریخ انتشار 2002