Invention Application
- Patent Title: Methods and Systems that Identify Dimensions Related to Anomalies in System Components of Distributed Computer Systems using Traces, Metrics, and Component-Associated Attribute Values
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Application No.: US16833102Application Date: 2020-03-27
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Publication No.: US20210303438A1Publication Date: 2021-09-30
- Inventor: Dev Nag , Naira Movses Grigoryan , Arnak Poghosyan , Ashot Nshan Harutyunyan
- Applicant: VMware, Inc.
- Applicant Address: US CA Palo Alto
- Assignee: VMware, Inc.
- Current Assignee: VMware, Inc.
- Current Assignee Address: US CA Palo Alto
- Main IPC: G06F11/34
- IPC: G06F11/34 ; G06F11/30

Abstract:
The current document is directed to methods and systems that employ distributed-computer-system metrics collected by one or more distributed-computer-system metrics-collection services, call traces collected by one or more call-trace services, and attribute values for distributed-computer-system components to identify attribute dimensions related to anomalous behavior of distributed-computer-system components. In a described implementation, nodes correspond to particular types of system components and node instances are individual components of the component type corresponding to a node. Node instances are associated with attribute values and node are associated with attribute-value spaces defined by attribute dimensions. Using attribute values and call traces, attribute dimensions that are likely related to particular anomalous behaviors of distributed-computer-system components are determined by decision-tree-related analyses and are reported to one or more computational entities to facilitate resolution of the anomalous behaviors.
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