LOGICAL DATA FLOW MAPPING RULES FOR (SUB) GRAPH ISOMORPHISM IN A CLUSTER COMPUTING ENVIRONMENT

Patent №

US 9,665,660

Granted

2017-05-30

Filed 2015

Owner

CONCURRENT, INC.

+2 more

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14659267

A system and a method are disclosed for transforming cluster computing resources of a target system to match a user defined logical data flow so data processing between the source and target are functionally equivalent. The source logical dataflow is compatibly mapped to a target directed acyclic graph that represents the cluster computing resources. A series of subgraph assertion and transform operations are applied iteratively until the logical data flow is isomorphic with a directed acyclic graph. The assertion and transform operations are comprised of rules and assertions, which are maintained in a rules registry.

AI classification

Planning1.00
Knowledge representation0.99
AI hardware0.94
Vision0.09
Natural language0.04
Machine learning0.03
Speech0.00
Evolutionary computation0.00

Ownership

CONCURRENT, INC.

assignment · 351840046

XPLENTY LTD.

assignment · 415490608

XPLENTY LIQUIDATING CORPORATION

assignment · 488720012

Assignors

WENSEL, CHRIS K.

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

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