Systems and Methods For Mixed Consistency in Computing Systems

Patent №

US 10,783,135

Granted

2020-09-22

Filed 2016

Owner

THOMSON REUTERS (TAX & ACCOUNTING) INC.

+3 more

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15014384

Exemplary embodiments of the present disclosure relate to systems, methods, and non-transitory computer-readable media that achieve eventual consistency of interrelated data in a computing system based on a relationship between the interrelated data (e.g., dependencies between interrelated data) and a configuration of an application programmed to consume the interrelated data. Exemplary embodiments can utilize one or more implicit or explicit dependency graphs, such as an implied or explicit directed acyclic graph corresponding to the interrelated data and the dependencies between the interrelated data. Subsets of the interrelated data can be associated with one or more groups or boundaries in the dependency graphs based on a configuration of applications programmed to consume the interrelated data and/or based on the dependencies between the interrelated data.

AI classification

Knowledge representation1.00
Planning0.99
AI hardware0.91
Natural language0.00
Vision0.00
Evolutionary computation0.00
Speech0.00
Machine learning0.00

Ownership

THOMSON REUTERS (TAX & ACCOUNTING) INC.

assignment · 378700536

THOMSON REUTERS GLOBAL RESOURCES

assignment · 378900701

THOMSON REUTERS GLOBAL RESOURCES UNLIMITED COMPANY

namechg · 443010670

THOMSON REUTERS ENTERPRISE CENTRE GMBH

assignment · 521090209

Assignors

STURM, ROBERT, SCHUWEILER, BRIAN, LANGE, MARCUS, VIBBERT, DAVID, UNNIKRISHNAN, KUMAR

On an employer assignment, the assignors are typically the inventors.

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