Invention Application
- Patent Title: Identifying Anomalous Conditions in Machine Data
- Patent Title (中): 识别机器数据中的异常条件
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Application No.: US15011623Application Date: 2016-01-31
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Publication No.: US20160147589A1Publication Date: 2016-05-26
- Inventor: Cary Glen Noel , Kirubakaran Pakkirisamy , Alex Raitz , Pierre Tsai
- Applicant: Splunk Inc.
- Main IPC: G06F11/07
- IPC: G06F11/07 ; G06F9/54

Abstract:
Embodiments are directed towards the visualization of machine data received from computing clusters. Embodiments may enable improved analysis of computing cluster performance, error detection, troubleshooting, error prediction, or the like. Individual cluster nodes may generate machine data that includes information and data regarding the operation and status of the cluster node. The machine data is received from each cluster node for indexing by one or more indexing applications. The indexed machine data including the complete data set may be stored in one or more index stores. A visualization application enables a user to select one or more analysis lenses that may be used to generate visualizations of the machine data. The visualization application employs the analysis lens to produce visualizations of the computing cluster machine data.
Public/Granted literature
- US09442789B2 Identifying anomalous conditions in machine data Public/Granted day:2016-09-13
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