Patent · US Active

Anomaly detection method for the virtual machines in a cloud system

US10616268B2 · kind B2 · utility

0Cited by

2References

6Claims

0Family size

Assignee

SHANGHAI MARITIME UNIVERSITY · CN

Inventors

Dezhi Han · Shanghai, CN
Kun BI · Shanghai, CN
Haochen Han · Shanghai, CN
Jun Wang · Shanghai, CN
Bolin Xie · Shanghai, CN
Fumei Chen · Shanghai, CN

Key dates

Filing date	Oct 12, 2016
Grant date	Apr 7, 2020
Priority date	—
Expiry date	Oct 26, 2036

Classification

Technology area (CPC G)Physics
CPC primaryG06F2009/45595
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

An anomaly detection method for virtual machines in a cloud system, in which an HsMM is trained by searching the state information of the normal virtual machines in the cloud system, and a corresponding algorithm is designed to detect and calculate the probabilistic logarithm probability and the Mahalanobis distance of the dynamic changing behaviors of the resources in the cloud system when each virtual machine is online. If the Mahalanobis distance value of an online virtual machine is detected being higher than the preset threshold value of the cloud system, it is suggested that the virtual machine is operating anomalously.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.