Method and apparatus for predicting experience degradation events in microservice-based applications
AssigneeIntuit Inc.
InventorShreeshankar CHATTERJEE
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AssigneeIntuit Inc.
InventorShreeshankar CHATTERJEE
Estimating the term…
Techniques are disclosed to predict experience degradation in a microservice-based application comprising a plurality of microservices. Quality of service metrics are derived for each node from the historical event log data of nodes forming a plurality of directed acyclic graph (DAG) paths in the multiple-layer nodes. A clustering model clusters the plurality of quality of service metrics according to multiple levels of quality of experience and determines respective value ranges of each quality of service metric for the multiple levels of quality of experience. Each quality of service metric is labeled with one of the multiple levels of quality of service according to the respective value ranges. A support vector machine model predicts various experience degradation events which are expected to occur during the operation of the microservice-based application.
A method of predicting experience degradation events in a microservice-based application comprising a plurality of nodes comprising microservices, the method comprising:
A system, comprising:
A method, comprising:
Dependencies are inferred from the claim text.