EFFICIENT, AUTOMATED DISTRIBUTED-SEARCH METHODS AND SYSTEMS

Patent №

US 10,965,733

Granted

2021-03-30

Filed 2016

Owner

VMWARE, INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15285355

The current document is directed to efficient, distributed-search methods and subsystems within distributed computer systems, including computer systems distributed over multiple sets of geographically distributed data centers, each comprising multiple discrete computer systems, such as multi-processor servers. In one implementation, the distributed-search methods and subsystems are implemented locally within participating entities as well as within one or more distributed-search engines. Each search is directed, by a participant, to identify attribute-associated entities within, provided by, connected to, or otherwise accessible to a distributed computing system having attribute values specified or indicated by the search query. Certain attribute values are continuously collected and centrally stored by the one or more centralized distributed-search engines while other attribute values are obtained through information requests distributed among participating entities.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 9/45558G06F 9/455G06F 16/2471H04L 47/70H04L 67/10G06F 2009/45579

AI classification

Planning1.00
Machine learning1.00
Knowledge representation0.93
AI hardware0.89
Natural language0.83
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

VMWARE, INC.

assignment · 399360877

Assignors

BEVERIDGE, DANIEL JAMES

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

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