Patent ID: 6574587
Filing Date: 2003-06-03
Classification: G06F

Abstract:
In a computing platform having a plurality of resources, each resource includes at least one aspect, a method for forecasting at least one aspect of the plurality of resources to produce computing platform resource performance forecasts, the method comprising the steps of:collecting at intervals performance data associated with a performance metric from a computing platform resource; statistically collapsing the collected performance data associated with a performance metric at least once to produce a time series and storing the time series; determining whether the time series is statistically stationary using a plurality of chi-square tests; converting the time series to a statistically stationary time series when the time series is determined not to be statistically stationary; bypassing the converting when the time series is determined to be statistically stationary; adding a date/time stamp to the time series, including converting the time series date/time stamp to a number of seconds equivalent to the value represented by the date/time stamp; applying an autoregressive modeling tool to the time series to produce computing platform resource performance forecasts; and outputting the resource performance forecasts in a format such that computing platform resources can be modified based on the data.