公开(公告)号：US11736502B2

公开(公告)日：2023-08-22

申请号：US16944460

申请日：2020-07-31

Applicant: Splunk Inc.

Inventor： Lucas Murphey ,  Francis Gerard ,  Richard Barger ,  Bhavin Patel ,  Patrick Schulz ,  Chinmay Kulkarni

IPC: G06F16/951 ,  G06F9/448 ,  H04L9/40 ,  G06F3/0482 ,  G06T11/20

CPC classification number: H04L63/1425 ,  G06F9/4498 ,  G06F16/951 ,  H04L63/145 ,  H04L63/1416 ,  G06F3/0482 ,  G06T11/206 ,  G06T2200/24

Abstract: Techniques and mechanisms are disclosed for a data intake and query system to generate “meta-notable” events by applying a meta-notable event rule to a collection of notable event data. A meta-notable event rule specifies one or more patterns of notable event instances defined by a set of notable event states and a set of transition rules (also referred to as association rules) indicating conditions for transitioning from one notable event state to another. The set of notable event states includes at least one start state and at least one end state. A meta-notable event is generated when a set of analyzed notable events satisfies a set of transition rules linking a start state to an end state (including transitions through any intermediary states between the start state and the end state).

公开(公告)号：US10771486B2

公开(公告)日：2020-09-08

申请号：US15715015

申请日：2017-09-25

Applicant: Splunk Inc.

Inventor： Lucas Murphey ,  Francis Gerard ,  Richard Barger ,  Bhavin Patel ,  Patrick Schulz ,  Chinmay Kulkarni

IPC: G06F21/00 ,  G06F21/50 ,  G06F21/55 ,  H04L29/06 ,  G06F16/951 ,  G06F9/448 ,  G06F3/0482 ,  G06T11/20

Abstract: Techniques and mechanisms are disclosed for a data intake and query system to generate “meta-notable” events by applying a meta-notable event rule to a collection of notable event data. A meta-notable event rule specifies one or more patterns of notable event instances defined by a set of notable event states and a set of transition rules (also referred to as association rules) indicating conditions for transitioning from one notable event state to another. The set of notable event states includes at least one start state and at least one end state. A meta-notable event is generated when a set of analyzed notable events satisfies a set of transition rules linking a start state to an end state (including transitions through any intermediary states between the start state and the end state).

公开(公告)号：US20210058418A1

公开(公告)日：2021-02-25

申请号：US16944460

申请日：2020-07-31

Applicant: Splunk Inc.

Inventor： Lucas Murphey ,  Francis Gerard ,  Richard Barger ,  Bhavin Patel ,  Patrick Schulz ,  Chinmay Kulkarni

IPC: H04L29/06 ,  G06F16/951 ,  G06F9/448

Abstract: Techniques and mechanisms are disclosed for a data intake and query system to generate “meta-notable” events by applying a meta-notable event rule to a collection of notable event data. A meta-notable event rule specifies one or more patterns of notable event instances defined by a set of notable event states and a set of transition rules (also referred to as association rules) indicating conditions for transitioning from one notable event state to another. The set of notable event states includes at least one start state and at least one end state. A meta-notable event is generated when a set of analyzed notable events satisfies a set of transition rules linking a start state to an end state (including transitions through any intermediary states between the start state and the end state).

公开(公告)号：US20190098032A1

公开(公告)日：2019-03-28

申请号：US15715015

申请日：2017-09-25

Applicant: Splunk Inc.

Inventor： Lucas Murphey ,  Francis Gerard ,  Richard Barger ,  Bhavin Patel ,  Patrick Schulz ,  Chinmay Kulkarni

IPC: H04L29/06 ,  G06F17/30

Abstract: Techniques and mechanisms are disclosed for a data intake and query system to generate “meta-notable” events by applying a meta-notable event rule to a collection of notable event data. A meta-notable event rule specifies one or more patterns of notable event instances defined by a set of notable event states and a set of transition rules (also referred to as association rules) indicating conditions for transitioning from one notable event state to another. The set of notable event states includes at least one start state and at least one end state. A meta-notable event is generated when a set of analyzed notable events satisfies a set of transition rules linking a start state to an end state (including transitions through any intermediary states between the start state and the end state).