SYSTEM AND METHOD FOR EXTRACTING AND FORECASTING COMPUTING RESOURCE DATA SUCH AS CPU CONSUMPTION USING AUTOREGRESSIVE METHODOLOGY

摘要

A system and method for extracting and forecasting computing resource data such as workload consumption of mainframe computing resources use an autoregressive model. The system and method retrieve performance records from a computer platform (202) in one second intervals, statistically collapse (204, 210) the performance data into fifteen minute performance data, statistically collapse (204, 210) the fifteen minute performance data into a one week performance data, and generates a time series equivalent to collecting performance data at one week intervals. The system and method ensure that the resulting time series is statistically stationary (212), and applies an autoregressive construct (216) to the time series to generate forecast of future CPU utilization as well as to generate reports and graphs comparing actual vs. forecast CPU utilization.