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Probability Density Distribution Graph for CPU usage analysis
The normal distribution is useful to understand the probability density of a large sample data set. There are many real world application of this theory. The example in this article shows how this can be used for analyzing the CPU usage of a particular process or individual core or overall CPU usage over a period of time. There may be occasional spikes up to 100%, but that may not necessarily an indicator of an issue for the overall system as long as the normal operating mode is utilizing less than the threshold. A graphical representation of probability density distribution combined with cumulative distribution will help to visualize the overall usage. Probability density function is represented as The above simplifies to: - Standard deviation - Mean This can be implemented in a programming language, I've used javascript and DyGraph chart library to create visualization of the data. Sample data set: var testData = [2,0,95.9,37.9,55.9,71.9,69.9,71.9,93.8,8,6,4,