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.
AI classification
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.