Abstract: The present invention is based on the main ideas that different sub-intervals of a resource utilization time series are to be summarized with different granularity in the time axis, depending on the values of the series over that interval. Therefore, periods of high resource utilization are represented with higher time granularity, while periods of low resource utilization are represented with lower time granularity, the value stored can represent a function of the summarized values, such as the average or maximum value of the low resource utilization period. The captured resource utilization data is used to generate profiles, wherein the profiles summarize the historical utilization data. The profiles further capture pseudo-periodic behavior over different time scales.