A Hidden Markov Model-Based Method for Virtual Machine Anomaly Detection

The normal operation of virtual machine is a necessity for supporting cloud service. Motivated by the great desire of automated abmornal operation detection, this paper proposes a Hidden Markov Model-based method to conduct anomaly detection of virtual machine. This model can depict normal outline base of virtual machine operation and detect system outliers through calculating non-match rate. Through verifying the method in a real distributed environment, experiment results indicate that this method has 1.1%-4.9% better detection accuracy compared with two leading benchmarks with a much better efficiency.