Patents by Inventor Robin Kumar Das

Robin Kumar Das has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • IDENTIFYING RELATIONSHIPS BETWEEN NETWORK TRAFFIC DATA AND LOG DATA
    Publication number: 20190251099
    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.
    Type: Application
    Filed: April 29, 2019
    Publication date: August 15, 2019
    Applicant: Splunk Inc.
    Inventors: 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
  • Optimizing resource allocation for projects executing in a cloud-based environment
    Patent number: 10362041
    Abstract: Embodiments are directed towards a system and method for a cloud-based front end that may abstract and enable access to the underlying cloud-hosted elements and objects that may be part of a multi-tenant application, such as a search application. Search objects may be employed to access indexed objects. An amount of indexed data accessible to a user may be based on an index storage limit selected by the user, such that data that exceeds the index storage limit may continue to be indexed. Also, one or more projects can be elastically scaled for a user to provide resources that may meet the specific needs of each project.
    Type: Grant
    Filed: January 16, 2018
    Date of Patent: July 23, 2019
    Assignee: SPLUNK INC.
    Inventors: Robin Kumar Das, Ledio Ago, Declan Gerard Shanaghy, Gaurav Gupta
  • Searching Packed Raw Data in Events Using Segment Lookup Data Structures
    Publication number: 20190213180
    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.
    Type: Application
    Filed: January 31, 2019
    Publication date: July 11, 2019
    Inventors: 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
  • Identifying security-related events derived from machine data that match a particular portion of machine data
    Patent number: 10339162
    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.
    Type: Grant
    Filed: January 31, 2016
    Date of Patent: July 2, 2019
    Assignee: Splunk Inc.
    Inventors: 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
  • Uniform storage and search of security-related events derived from machine data from different sources
    Patent number: 10324957
    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.
    Type: Grant
    Filed: January 31, 2016
    Date of Patent: June 18, 2019
    Assignee: Splunk Inc.
    Inventors: 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
  • Identification of systems with anomalous behaviour using events derived from machine data produced by those systems
    Patent number: 10318553
    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.
    Type: Grant
    Filed: January 31, 2015
    Date of Patent: June 11, 2019
    Assignee: Splunk Inc.
    Inventors: 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
  • Identifying relationships between network traffic data and log data
    Patent number: 10318555
    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.
    Type: Grant
    Filed: January 31, 2017
    Date of Patent: June 11, 2019
    Assignee: Splunk Inc.
    Inventors: 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
  • Determining Time Stamps in Machine Data Derived Events
    Publication number: 20190171630
    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.
    Type: Application
    Filed: January 31, 2019
    Publication date: June 6, 2019
    Inventors: 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
  • SEGMENTING MACHINE DATA USING TOKEN-BASED SIGNATURES
    Publication number: 20190171629
    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.
    Type: Application
    Filed: January 31, 2019
    Publication date: June 6, 2019
    Inventors: 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
  • Identifying Pattern Relationships In Machine Data
    Publication number: 20190163688
    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.
    Type: Application
    Filed: January 31, 2019
    Publication date: May 30, 2019
    Inventors: 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
  • APPLYING TIME-BASED SEARCH PHRASES ACROSS EVENT DATA
    Publication number: 20190163673
    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.
    Type: Application
    Filed: January 31, 2019
    Publication date: May 30, 2019
    Inventors: 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
  • Application of search policies to searches on event data stored in persistent data structures
    Patent number: 10262018
    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.
    Type: Grant
    Filed: November 1, 2016
    Date of Patent: April 16, 2019
    Assignee: Splunk Inc.
    Inventors: 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
  • Time stamp creation for event data
    Patent number: 10255312
    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.
    Type: Grant
    Filed: October 31, 2016
    Date of Patent: April 9, 2019
    Assignee: Splunk Inc.
    Inventors: 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
  • Source differentiation of machine data
    Patent number: 10242039
    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.
    Type: Grant
    Filed: January 31, 2017
    Date of Patent: March 26, 2019
    Assignee: Splunk Inc.
    Inventors: 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
  • Identifying system performance patterns in machine data
    Patent number: 10242086
    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.
    Type: Grant
    Filed: April 30, 2016
    Date of Patent: March 26, 2019
    Assignee: Splunk Inc.
    Inventors: 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
  • Expiration of persistent data structures that satisfy search queries
    Patent number: 10216779
    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.
    Type: Grant
    Filed: January 27, 2016
    Date of Patent: February 26, 2019
    Assignee: Splunk Inc.
    Inventors: 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
  • STORING EVENTS DERIVED FROM LOG DATA AND PERFORMING A SEARCH ON THE EVENTS AND DATA THAT IS NOT LOG DATA
    Publication number: 20180246919
    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.
    Type: Application
    Filed: April 26, 2018
    Publication date: August 30, 2018
    Inventors: 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
  • ENABLING ROLE-BASED OPERATIONS TO BE PERFORMED ON MACHINE DATA IN A MACHINE ENVIRONMENT
    Publication number: 20180248890
    Abstract: Embodiments are directed towards a system and method for a cloud-based front end that may abstract and enable access to the underlying cloud-hosted elements and objects that may be part of a multi-tenant application, such as a search application. Search objects may be employed to access indexed objects. An amount of indexed data accessible to a user may be based on an index storage limit selected by the user, such that data that exceeds the index storage limit may continue to be indexed. Also, one or more projects can be elastically scaled for a user to provide resources that may meet the specific needs of each project.
    Type: Application
    Filed: April 30, 2018
    Publication date: August 30, 2018
    Inventors: Robin Kumar Das, Ledio Ago, Declan Gerard Shanaghy, Gaurav Gupta
  • STORING LOG DATA AND PERFORMING A SEARCH ON THE LOG DATA AND DATA THAT IS NOT LOG DATA
    Publication number: 20180225319
    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.
    Type: Application
    Filed: January 30, 2018
    Publication date: August 9, 2018
    Inventors: 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
  • STORING EVENTS ASSOCIATED WITH A TIME STAMP EXTRACTED FROM LOG DATA AND PERFORMING A SEARCH ON THE EVENTS AND DATA THAT IS NOT LOG DATA
    Publication number: 20180173739
    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.
    Type: Application
    Filed: January 30, 2018
    Publication date: June 21, 2018
    Inventors: 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