Invention Grant
US09317582B2 Identifying events derived from machine data that match a particular portion of machine data
有权
识别与机器数据特定部分匹配的机器数据导出的事件
- Patent Title: Identifying events derived from machine data that match a particular portion of machine data
- Patent Title (中): 识别与机器数据特定部分匹配的机器数据导出的事件
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Application No.: US14691195Application Date: 2015-04-20
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Publication No.: US09317582B2Publication Date: 2016-04-19
- Inventor: Michael Joseph Baum , R. David Carasso , Robin Kumar Das , Bradley Hall , Brian Philip Murphy , Stephen Phillip Sorkin , Andre David Stechert , Erik M. Swan , Rory Greene , Nicholas Christian Mealy , Christina Frances Regina Noren
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Wong & Rees LLP
- Agent Kirk D. Wong
- Main IPC: G06F17/40
- IPC: G06F17/40 ; G06F17/30 ; G06K9/62 ; G06F17/27 ; G06F11/34

Abstract:
Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine data is a product of information-processing systems (e.g., activity logs, configuration files, messages, database records) and represents the evidence of particular events that have taken place and been recorded in raw data format. In one embodiment, machine data is turned into a machine data web by organizing machine data into events and then linking events together.
Public/Granted literature
- US20150227614A1 Identifying Events Derived From Machine Data That Match a Particular Portion of Machine Data Public/Granted day:2015-08-13
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