GENERATING A DISTRIBUTED EXECUTION MODEL WITH UNTRUSTED COMMANDS

Patent №

US 10,698,900

Granted

2020-06-30

Filed 2017

Owner

SPLUNK INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15714424

Systems and methods are disclosed for generating a distributed execution model with untrusted commands. The system can receive a query, and process the query to identify the untrusted commands. The system can use data associated with the untrusted command to identify one or more files associated with the untrusted command. Based on the files, the system can generate a data structure and include one or more identifiers associated with the data structure in the distributed execution model. The system can distribute the distributed execution model to one or more nodes in a distributed computing environment for execution.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 16/24553G06F 16/13G06F 16/2379G06F 16/2433G06F 16/901G06F 16/90335H04L 63/10H04W 12/10

AI classification

AI hardware1.00
Knowledge representation1.00
Machine learning0.99
Planning0.98
Natural language0.97
Vision0.31
Speech0.01
Evolutionary computation0.00

Ownership

SPLUNK INC.

assignment · 439600584

Assignors

BHATTACHARJEE, ARINDAM, PAL, SOURAV, JAMES, ALEXANDER DOUGLAS

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

From the same owner

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