- 专利标题: IDENTIFYING RELATIONSHIPS BETWEEN NETWORK TRAFFIC DATA AND LOG DATA
-
申请号: US16398104申请日: 2019-04-29
-
公开(公告)号: US20190251099A1公开(公告)日: 2019-08-15
- 发明人: 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
- 申请人: Splunk Inc.
- 申请人地址: US CA San Francisco
- 专利权人: Splunk Inc.
- 当前专利权人: Splunk Inc.
- 当前专利权人地址: US CA San Francisco
- 主分类号: G06F16/28
- IPC分类号: G06F16/28 ; G06F16/2457 ; G06K9/62 ; G06F17/27 ; G06F16/2455 ; G06F16/2458 ; G06F16/23 ; G06F16/31 ; G06F16/35 ; H04L29/06
摘要:
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.
公开/授权文献
信息查询