RESOURCE NEEDS PREDICTION IN VIRTUALIZED SYSTEMS: GENERIC PROACTIVE AND SELF-ADAPTIVE SOLUTION

摘要

A method for real-time prediction of resource consumption by a system is provided that includes determining a real-time prediction of resource demand by the system. Genetic Algorithm (GA) is used to dynamically determine an optimal size of a sliding window and an optimal number of predicted data within the real-time prediction of the resource demand. The data within the real-time prediction of the resource demand is adjusted based on an estimated probability of prediction errors and a variable padding, which is based on a mean of at least one previous standard deviation of the predicted data within the real-time prediction of the resource demand.