公开(公告)号：US09922066B2

公开(公告)日：2018-03-20

申请号：US15008428

申请日：2016-01-27

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.

公开(公告)号：US20170344591A1

公开(公告)日：2017-11-30

申请号：US15661286

申请日：2017-07-27

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 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.

公开(公告)号：US20170270219A1

公开(公告)日：2017-09-21

申请号：US15582599

申请日：2017-04-28

Applicant: SPLUNK, Inc.

Inventor： R. David Carasso ,  Micah James Delfino

IPC: G06F17/30

CPC classification number: G06F17/30949

Abstract: Embodiments are directed towards a graphical user interface identify locations within event records with splittable timestamp information. A display of event records is provided using any of a variety of formats. A splittable timestamp selector allows a user to select one or more locations within event records as having time related information that may be split across the one or more locations, including, information based on date, time of day, day of the week, or other time information. Any of a plurality of mechanisms is used to associate the selected locations with the split timestamp information, including tags, labels, or header information within the event records. In other embodiments, a separate table, list, index, or the like may be generated that associates the selected locations with the split timestamp information. The split timestamp information may be used within extraction rules for selecting subsets or the event records.

公开(公告)号：US09747316B2

公开(公告)日：2017-08-29

申请号：US15420938

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：US09582557B2

公开(公告)日：2017-02-28

申请号：US14700006

申请日：2015-04-29

Applicant: Splunk Inc.

Inventor： R. David Carasso ,  Micah James Delfino

IPC: G06F17/30 ,  G06F3/0482 ,  G06F3/0484

CPC classification number: G06F17/30563 ,  G06F3/0482 ,  G06F3/04842 ,  G06F7/24 ,  G06F17/30601 ,  G06F17/30705

Abstract: Embodiments are directed towards generating a representative sampling as a subset from a larger dataset that includes unstructured data. A graphical user interface enables a user to provide various data selection parameters, including specifying a data source and one or more subset types desired, including one or more of latest records, earliest records, diverse records, outlier records, and/or random records. Diverse and/or outlier subset types may be obtained by generating clusters from an initial selection of records obtained from the larger dataset. An iteration analysis is performed to determine whether a sufficient number of clusters and/or cluster types have been generated that exceed at least one threshold and when not exceeded, additional clustering is performed on additional records. From the resultant clusters, and/or other subtype results, a subset of records is obtained as the representative sampling subset.

Abstract translation: 实施例旨在从包括非结构化数据的较大数据集生成代表性采样作为子集。 图形用户界面使得用户能够提供各种数据选择参数，包括指定数据源和期望的一个或多个子集类型，包括最新记录，最早记录，不同记录，离群记录和/或随机记录中的一个或多个。 可以通过从从较大数据集获得的记录的初始选择生成聚类来获得不同的和/或离群子集类型。 执行迭代分析以确定是否已经生成了超过至少一个阈值的足够数量的集群和/或集群类型，并且当不超过时，对附加记录执行附加集群。 从所得到的集群和/或其他子类型结果中，获得记录的子集作为代表性抽样子集。

公开(公告)号：US20160156667A1

公开(公告)日：2016-06-02

申请号：US15011625

申请日：2016-01-31

Applicant: Splunk Inc.

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

IPC: H04L29/06 ,  G06F17/30

CPC classification number: G06F17/30598 ,  G06F11/3476 ,  G06F17/2785 ,  G06F17/30368 ,  G06F17/30477 ,  G06F17/30507 ,  G06F17/30525 ,  G06F17/30551 ,  G06F17/30604 ,  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。

公开(公告)号：US20160140128A1

公开(公告)日：2016-05-19

申请号：US15008428

申请日：2016-01-27

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：US09317582B2

公开(公告)日：2016-04-19

申请号：US14691195

申请日：2015-04-20

Applicant: Splunk Inc.

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

IPC: G06F17/40 ,  G06F17/30 ,  G06K9/62 ,  G06F17/27 ,  G06F11/34

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。

公开(公告)号：US09298805B2

公开(公告)日：2016-03-29

申请号：US14691163

申请日：2015-04-20

Applicant: Splunk Inc.

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

IPC: G06F17/40 ,  G06F17/30 ,  G06K9/62 ,  G06F17/27 ,  G06F11/34

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。

公开(公告)号：US09292590B2

公开(公告)日：2016-03-22

申请号：US14691135

申请日：2015-04-20

Applicant: Splunk Inc.

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

IPC: G06F17/40 ,  G06F17/30 ,  G06K9/62 ,  G06F17/27 ,  G06F11/34

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。