Decision Tree Generation Method in Intrusion Detection System

Abstract

Assigning virtual machines to appropriate physical machines has becoming a hot issue in the field of cloud computing. This paper combines ant colony optimization algorithm with virtual machine scheduling idea, and proposes a virtual machine scheduling algorithm based on ant colony model. By analyzing the historical memory consumption of each physical machine, the algorithm can predict the future memory consumption of each physical machine, thus realizing the effective allocation of virtual machine resources on cloud infrastructure. In order to verify the effectiveness of the proposed algorithm, simulation experiments are carried out under homogeneous and heterogeneous modes with the current representative algorithms, respectively. The results show that the proposed algorithm has remarked supercities.