CLIENT SUBNET EFFICIENCY BY EQUIVALENCE CLASS AGGREGATION

Patent №

US 10,693,834

Granted

2020-06-23

Filed 2018

Owner

NOMINUM, INC.

Lab

AI components

1

kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16102947

A method for improving client subnet efficiency by equivalence class aggregation includes receiving a Domain Name System (DNS) query from a client, determining, based on predetermined class criteria, that the client is associated with an equivalency class, searching a cache associated with the equivalence class for an answer corresponding to the DNS query, and upon locating the answer, serving the answer to the client. If it is determined that the cache does not include the answer, the method proceeds with querying, by a recursive server, an authoritative server using client subnet data associated with the equivalence class, receiving the answer from the authoritative server, storing the answer to the cache associated with the equivalency class, and serving the answer to the client. The client subnet data may include a representative CIDR block, the representative CIDR block being used to make queries on behalf of all clients associated with the equivalence class.

Knowledge representationH04L 61/4511H04L 61/5007H04L 67/568H04L 61/58H04L 2101/695

AI classification

Knowledge representation0.73
Vision0.01
AI hardware0.01
Natural language0.01
Machine learning0.00
Planning0.00
Speech0.00
Evolutionary computation0.00

Ownership

NOMINUM, INC.

assignment · 525950799

Assignors

HALLEY, ROBERT THOMAS, WELLINGTON, BRIAN

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

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