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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
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
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机译:与基于云的应用程序加速度的数据模式改变相关的基于点异常相关的基于相关评分的共度指示
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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.
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