BACKGROUND FORMAT OPTIMIZATION FOR ENHANCED QUERIES IN A DISTRIBUTED COMPUTING CLUSTER

Patent №

US 11,630,830

Granted

2023-04-18

Filed 2020

Owner

Lab

AI components

3

ml · kr · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

16921558

A format conversion engine for Apache Hadoop that converts data from its original format to a database-like format at certain time points for use by a low latency (LL) query engine. The format conversion engine comprises a daemon that is installed on each data node in a Hadoop cluster. The daemon comprises a scheduler and a converter. The scheduler determines when to perform the format conversion and notifies the converter when the time comes. The converter converts data on the data node from its original format to a database-like format for use by the low latency (LL) query engine.

Machine learningKnowledge representationAI hardwareG06F 16/2471G06F 16/24534G06F 16/24542G06F 16/258G06F 16/27

AI classification

AI hardware0.87
Knowledge representation0.65
Machine learning0.52
Planning0.27
Natural language0.02
Evolutionary computation0.00
Vision0.00
Speech0.00
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