US Patent Application 17722109. METHOD AND SYSTEM FOR PERFORMING ANOMALY DETECTION IN A DISTRIBUTED MULTI-TIERED COMPUTING ENVIRONMENT simplified abstract
METHOD AND SYSTEM FOR PERFORMING ANOMALY DETECTION IN A DISTRIBUTED MULTI-TIERED COMPUTING ENVIRONMENT
Organization Name
Inventor(s)
William Jeffery White of Plano TX (US)
Robert Anthony Lincourt, Jr. of Franklin MA (US)
METHOD AND SYSTEM FOR PERFORMING ANOMALY DETECTION IN A DISTRIBUTED MULTI-TIERED COMPUTING ENVIRONMENT - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17722109 Titled 'METHOD AND SYSTEM FOR PERFORMING ANOMALY DETECTION IN A DISTRIBUTED MULTI-TIERED COMPUTING ENVIRONMENT'
Simplified Explanation
The abstract describes a method for managing a distributed multi-tiered computing environment. The method involves obtaining service level objective metrics and using them to detect anomalies. If an anomaly is detected, basic remediation is attempted, and if unsuccessful, further analysis is done to determine if it is a silent failure. If it is a silent failure, service impairment isolation is performed to identify the services associated with the anomaly, and root cause analysis is conducted to identify the causal services.
Original Abstract Submitted
Techniques described herein relate to a method for managing a distributed multi-tiered computing (DMC) environment. The method includes obtaining, by a local controller associated with a DMC domain, service level objective (SLO) metrics; applying the SLO metrics to a predictive anomaly detection transformer to perform anomaly detection; making a first determination that an anomaly is detected; in response to the first determination: attempting basic remediation to resolve the anomaly; making a second determination that the basic remediation is unsuccessful; in response to the second determination: making a third determination that the anomaly is associated with a silent failure; and in response to the third determination: performing service impairment isolation to obtain a collection of services correlated to the anomaly; and performing root cause analysis to identify causal services.
