CORRELATION SCORE BASED COMMONNESS INDICATION ASSOCIATED WITH A POINT ANOMALY PERTINENT TO DATA PATTERN CHANGES IN A CLOUD-BASED APPLICATION ACCELERATION AS A SERVICE ENVIRONMENT

摘要

A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes detecting a point anomaly in real-time data associated with each network entity based on determining whether the real-time data falls outside a threshold expected value thereof, and representing the detected point anomaly in a full mesh Q node graph, with Q being a number of features applicable for the each network entity. The method also includes capturing a transition in the point anomaly associated with a newly detected anomaly or non-anomaly in the real-time data associated with one or more of the Q number of features via the representation of the full mesh Q node graph, and deriving a current data correlation score for the point anomaly across the captured transition via the representation of the full mesh Q node graph.