APPARATUS AND METHOD OF LEVERAGING SEMI-SUPERVISED MACHINE LEARNING PRINCIPALS TO PERFORM ROOT CAUSE ANALYSIS AND DERIVATION FOR REMEDIATION OF ISSUES IN A COMPUTER ENVIRONMENT

摘要

Embodiments of the innovation relate to a host device having a memory and a processor, the host device configured to determine an anomaly associated with an attribute of a computer environment resource of the computer infrastructure. The host device is configured to correlate an object associated with the attribute of the detected anomaly with a related object of the computer infrastructure. The host device is configured to determine a root cause probability for each object of the correlated objects, the root cause probability identifying a probability of the correlated object functioning as a cause of the detected anomaly. The host device is configured to output an identification of a root object associated with the anomaly based upon the identified root cause probability.

主权项

1. In a host device, a method for performing an anomaly analysis of a computer environment, comprising:
determining, by the host device, an anomaly associated with an attribute of a computer environment resource of the computer infrastructure; correlating, by the host device, an object associated with the attribute of the detected anomaly with a related object of the computer infrastructure; determining, by the host device, a root cause probability for each object of the correlated objects, the root cause probability identifying a probability of the correlated object functioning as a cause of the detected anomaly; and outputting, by the host device, an identification of a root object associated with the anomaly based upon the identified root cause probability.