EP3635551A4 - Rapid predictive analysis of very large data sets using an actor-driven distributed computational graph - Google Patents

Rapid predictive analysis of very large data sets using an actor-driven distributed computational graph Download PDF

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Publication number
EP3635551A4
EP3635551A4 EP18813012.4A EP18813012A EP3635551A4 EP 3635551 A4 EP3635551 A4 EP 3635551A4 EP 18813012 A EP18813012 A EP 18813012A EP 3635551 A4 EP3635551 A4 EP 3635551A4
Authority
EP
European Patent Office
Prior art keywords
actor
data sets
large data
predictive analysis
computational graph
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP18813012.4A
Other languages
German (de)
French (fr)
Other versions
EP3635551A2 (en
Inventor
Jason Crabtree
Andrew Sellers
John Uchiyama
Ian Macleod
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qomplx Inc
Original Assignee
Qomplx Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US15/616,427 external-priority patent/US20170371726A1/en
Application filed by Qomplx Inc filed Critical Qomplx Inc
Publication of EP3635551A2 publication Critical patent/EP3635551A2/en
Publication of EP3635551A4 publication Critical patent/EP3635551A4/en
Withdrawn legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication

Landscapes

  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
EP18813012.4A 2017-06-07 2018-06-07 Rapid predictive analysis of very large data sets using an actor-driven distributed computational graph Withdrawn EP3635551A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/616,427 US20170371726A1 (en) 2015-10-28 2017-06-07 Rapid predictive analysis of very large data sets using an actor-driven distributed computational graph
PCT/US2018/036550 WO2018227015A2 (en) 2017-06-07 2018-06-07 Rapid predictive analysis of very large data sets using an actor-driven distributed computational graph

Publications (2)

Publication Number Publication Date
EP3635551A2 EP3635551A2 (en) 2020-04-15
EP3635551A4 true EP3635551A4 (en) 2021-03-10

Family

ID=64566001

Family Applications (1)

Application Number Title Priority Date Filing Date
EP18813012.4A Withdrawn EP3635551A4 (en) 2017-06-07 2018-06-07 Rapid predictive analysis of very large data sets using an actor-driven distributed computational graph

Country Status (2)

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EP (1) EP3635551A4 (en)
WO (1) WO2018227015A2 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11645599B2 (en) 2021-09-14 2023-05-09 Autonom8 Inc System and method for autonomous workflow management and execution

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170075721A1 (en) * 2015-09-16 2017-03-16 Salesforce.Com, Inc. Providing strong ordering in multi-stage streaming processing
US20170083378A1 (en) * 2015-09-18 2017-03-23 Salesforce.Com, Inc. Managing processing of long tail task sequences in a stream processing framework

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19632609A1 (en) * 1996-08-13 1998-02-19 Duerr Systems Gmbh Manufacturing plant
US9916133B2 (en) * 2013-03-14 2018-03-13 Microsoft Technology Licensing, Llc Software release workflow management
US20160275123A1 (en) * 2015-03-18 2016-09-22 Hitachi, Ltd. Pipeline execution of multiple map-reduce jobs
US20170124464A1 (en) * 2015-10-28 2017-05-04 Fractal Industries, Inc. Rapid predictive analysis of very large data sets using the distributed computational graph

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170075721A1 (en) * 2015-09-16 2017-03-16 Salesforce.Com, Inc. Providing strong ordering in multi-stage streaming processing
US20170083378A1 (en) * 2015-09-18 2017-03-23 Salesforce.Com, Inc. Managing processing of long tail task sequences in a stream processing framework

Also Published As

Publication number Publication date
EP3635551A2 (en) 2020-04-15
WO2018227015A2 (en) 2018-12-13
WO2018227015A3 (en) 2019-02-07

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