TECHNIQUES FOR ARCHITECTURE-INDEPENDENT DYNAMIC FLOW LEARNING IN A PACKET FORWARDER

Patent №

US 10,069,732

Granted

2018-09-04

Filed 2016

Owner

TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

Lab

AI components

2

kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15291671

Exemplary techniques for architecture-independent dynamic flow learning in a packet forwarder are described. A packet forwarder includes a plurality of forwarding threads and a plurality of provisioning threads, and can implement three functional blocks to learn new flows—an admission control block, a forwarding database building block, and a notification path block. An admission control module can control the ability for forwarding threads to place flow operation requests in operation queues. Provisioning threads independently manage particular operation queues, and can update corresponding portions of a control database and a forwarding database. Flow operation notifications can be managed through notification queues, which can be drained back into the operation queues for the provisioning threads to later process. The packet forwarder thus can benefit from a highly-parallel, highly-efficient software-based approach to flow learning operations that does not require specialized hardware support.

Knowledge representationAI hardwareH04L 47/783H04L 45/72H04L 47/10H04L 47/215

AI classification

AI hardware0.96
Knowledge representation0.66
Planning0.05
Natural language0.00
Vision0.00
Speech0.00
Evolutionary computation0.00
Machine learning0.00

Ownership

TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

assignment · 401060913

Assignors

NARAYANAN, SRIKANTH, CAVUOTI, MATIAS, DESIGAN, ARUNKUMAR M., GULERIA, VIKRAM

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

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