Invention Grant
- Patent Title: Determining time stamps in machine data derived events
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Application No.: US17243966Application Date: 2021-04-29
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Publication No.: US11537585B2Publication Date: 2022-12-27
- Inventor: Michael Joseph Baum , R. David Carasso , Robin Kumar Das , Rory Greene , Bradley Hall , Nicholas Christian Mealy , Brian Philip Murphy , Stephen Phillip Sorkin , Andre David Stechert , Erik M. Swan
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/22 ; G06F16/248 ; G06F16/951 ; G06F16/23 ; G06F16/2458 ; G06F16/2455 ; G06F16/2457

Abstract:
Methods and apparatus consistent with the invention provide the ability to organize, index, search, and present time series data based on searches. Time series data are sequences of time stamped records occurring in one or more usually continuous streams, representing some type of activity. In one embodiment, time series data is stored as discrete events time stamps. A search is received and relevant event information is retrieved based in whole or in part on the time stamp, a keyword indexing mechanism, or statistical indices calculated at the time of the search.
Public/Granted literature
- US20210248122A1 DETERMINING TIME STAMPS IN MACHINE DATA DERIVED EVENTS Public/Granted day:2021-08-12
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