公开(公告)号：US20190171629A1

公开(公告)日：2019-06-06

申请号：US16264610

申请日：2019-01-31

Applicant: Splunk Inc.

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

IPC: G06F16/22 ,  G06F16/2457 ,  G06F16/2455 ,  G06F16/2458 ,  G06F16/248 ,  G06F16/951 ,  G06F16/23

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 organized into discrete events with normalized time stamps and the events are indexed by time and keyword. A search is received and relevant event information is retrieved based in whole or in part on the time indexing mechanism, keyword indexing mechanism, or statistical indices calculated at the time of the search.

公开(公告)号：US20150339351A1

公开(公告)日：2015-11-26

申请号：US14815980

申请日：2015-08-01

Applicant: Splunk Inc.

Inventor： Erik M. SWAN ,  R. David CARASSO ,  Robin Kumar DAS ,  Rory GREENE ,  Bradley HALL ,  Nicholas Christian MEALY ,  Brian Philip MURPHY ,  Stephen Phillip SORKIN ,  Andre David STECHERT ,  Michael Joseph BAUM

IPC: G06F17/30

Abstract: Methods and apparatus consistent with the invention provide the ability to 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 organized into discrete events with normalized time stamps and the events are indexed by time and keyword. A search is received and relevant event information is retrieved based in whole or in part on the time indexing mechanism, keyword indexing mechanism, or statistical indices calculated at the time of the search.

Abstract translation: 与本发明一致的方法和装置提供了基于搜索搜索和呈现时间序列数据的能力。 时间序列数据是在一个或多个通常连续的流中发生的时间戳记录的序列，表示某种类型的活动。 在一个实施例中，时间序列数据被组织成具有归一化时间戳的离散事件，并且事件由时间和关键字索引。 完全或部分地基于搜索时计算的时间索引机制，关键字索引机制或统计索引，检索相关的事件信息。

公开(公告)号：US20150149480A1

公开(公告)日：2015-05-28

申请号：US14611170

申请日：2015-01-30

Applicant: Splunk Inc.

Inventor： Erik M. SWAN ,  R. David CARASSO ,  Robin Kumar DAS ,  Rory GREENE ,  Bradley HALL ,  Nicholas Christian MEALY ,  Brian Philip MURPHY ,  Stephen Phillip SORKIN ,  Andre David STECHERT ,  Michael Joseph BAUM

IPC: G06F17/30

CPC classification number: G06F17/30336 ,  G06F17/30321 ,  G06F17/30342 ,  G06F17/30353 ,  G06F17/30516 ,  G06F17/30528 ,  G06F17/3053 ,  G06F17/30551 ,  G06F17/30554 ,  G06F17/30864

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 organized into discrete events with normalized time stamps and the events are indexed by time and keyword. A search is received and relevant event information is retrieved based in whole or in part on the time indexing mechanism, keyword indexing mechanism, or statistical indices calculated at the time of the search.

Abstract translation: 根据本发明的方法和设备提供了基于搜索来组织，索引，搜索和呈现时间序列数据的能力。 时间序列数据是在一个或多个通常连续的流中发生的时间戳记录的序列，表示某种类型的活动。 在一个实施例中，时间序列数据被组织成具有归一化时间戳的离散事件，并且事件由时间和关键字索引。 完全或部分地基于搜索时计算的时间索引机制，关键字索引机制或统计索引，检索相关的事件信息。

公开(公告)号：US20170139968A1

公开(公告)日：2017-05-18

申请号：US15421416

申请日：2017-01-31

Applicant: Splunk Inc.

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

IPC: G06F17/30

CPC classification number: G06F17/30336 ,  G06F17/30321 ,  G06F17/30342 ,  G06F17/30353 ,  G06F17/30516 ,  G06F17/30528 ,  G06F17/3053 ,  G06F17/30551 ,  G06F17/30554 ,  G06F17/30864

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 organized into discrete events with normalized time stamps and the events are indexed by time and keyword. A search is received and relevant event information is retrieved based in whole or in part on the time indexing mechanism, keyword indexing mechanism, or statistical indices calculated at the time of the search.

公开(公告)号：US20140149438A1

公开(公告)日：2014-05-29

申请号：US14170228

申请日：2014-01-31

Applicant: SPLUNK INC.

Inventor： Michael Joseph BAUM ,  R. David CARASSO ,  Robin Kumar DAS ,  Bradley HALL ,  Brian Phillip MURPHY ,  Stephen Phillip SORKIN ,  Andre David STECHERT ,  Erik M. SWAN ,  Rory GREENE ,  Nicholas Christian MEALY ,  Christina Frances Regina NOREN

IPC: G06F17/30

CPC classification number: G06F17/30604 ,  G06F11/3476 ,  G06F17/2785 ,  G06F17/30368 ,  G06F17/30477 ,  G06F17/30507 ,  G06F17/30525 ,  G06F17/30551 ,  G06F17/30598 ,  G06F17/30619 ,  G06F17/30657 ,  G06F17/30705 ,  G06K9/6217 ,  H04L63/1425 ,  H04L63/20

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.

Abstract translation: 与本发明一致的方法和设备提供组织和构建由各种信息处理环境生成的机器数据的理解的能力。 机器数据是信息处理系统（例如，活动日志，配置文件，消息，数据库记录）的产物，并且表示已经发生并以原始数据格式记录的特定事件的证据。 在一个实施例中，机器数据通过将机器数据组织到事件中并将事件链接在一起而变成机器数据网。