METHODS AND SYSTEMS FOR TROUBLESHOOTING APPLICATIONS USING STREAMING ANOMALY DETECTION

Patent №

US 11,640,465

Granted

2023-05-02

Filed 2019

Owner

VMWARE, INC.

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16682549

Computational methods and systems for detecting and troubleshooting anomalous behavior in distributed applications executing in a distributed computing system are described herein. Methods and systems discover nodes comprising the application. Anomaly detection monitors the metrics associated with the nodes for anomalous behavior in order to identify an approximate point in time when anomalous behavior begins to adversely impact performance of the application. Anomaly detection also monitors logs messages associated with the nodes to detect anomalous behavior recorded in the log messages. When anomalous behavior is detected in either the metrics and/or the log messages an alert identifying the anomalous behavior is generated. Troubleshooting guides an administrator and/or application owner to investigate the root cause of the anomalous behavior. Appropriate remedial measures may be determined based on the root cause and automatically or manually executed to correct the problem.

AI classification

Planning1.00
Knowledge representation0.99
AI hardware0.94
Machine learning0.90
Vision0.01
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

VMWARE, INC.

assignment · 509980313

Assignors

MATHUR, KESHAV, LU, JINYI, WANG, XING, BROWN, DARREN, GAO, PENG, KUSHMERICK, NICHOLAS, PEDERSEN, PAUL, LIN, JUNYUAN

On an employer assignment, the assignors are typically the inventors.

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