A Multi-Tiered Approach With Data Normalization To Analyzing CPU Metrics

نویسندگان

  • Annie W. Shum
  • Boris Ginis
چکیده

In IT management, CPU utilization is arguably the most basic performance metric. It is also one of the most multi-faceted with IBM’s RMF and SMF providing over 60 variations of zSeries CPU utilizations, spanning differing degrees of granularities and complexity. So which CPU utilization metrics are right for you? Why, when, and how do you use each of them? We advocate a new, multi-tiered approach built on a broad-based data normalization technique. In addition, we also offer guidance on how to select CPU utilization metrics to address specific problems, in particularly, capacity planning.

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تاریخ انتشار 2005