Invention Application
- Patent Title: METHODS AND SYSTEMS FOR ABNORMALITY ANALYSIS OF STREAMED LOG DATA
- Patent Title (中): 流域日志数据异常分析的方法与系统
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Application No.: US13960611Application Date: 2013-08-06
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Publication No.: US20140053025A1Publication Date: 2014-02-20
- Inventor: Mazda A. Marvasti , Arnak Poghosyan , Ashot Harutyunyan , Naira Grigoryan
- Applicant: VMware, Inc.
- Main IPC: G06F11/07
- IPC: G06F11/07

Abstract:
This disclosure presents systems and methods for run-time analysis of streams of log data for abnormalities using a statistical structure of meta-data associated with the log data. The systems and methods convert a log data stream into meta-data and perform statistical analysis in order to reveal a dominant statistical pattern within the meta-data. The meta-data is represented as a graph with nodes that represent each of the different event types, which are detected in the stream along with event sources associated with the events. The systems and methods use real-time analysis to compare a portion of a current log data stream collected in an operational window with historically collected meta-data represented by a graph in order to determine the degree of abnormality of the current log data stream collected in the operational window.
Public/Granted literature
- US09298538B2 Methods and systems for abnormality analysis of streamed log data Public/Granted day:2016-03-29
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