DATA PLANE LEARNING OF BI-DIRECTIONAL SERVICE CHAINS

Patent №

US 9,246,799

Granted

2016-01-26

Filed 2013

Owner

CISCO TECHNOLOGY, INC.

Lab

AI components

1

kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13891245

Techniques are provided to decouple service chain structure from the underlying network forwarding state and allow for data plane learning of service chain forwarding requirements and any association between services function state requirements and the forward and reverse forwarding paths for a service chain. In a network comprising a plurality of network nodes each configured to apply a service function to traffic that passes through the respective network node, a packet is received at a network node. When the network node determines that the service function it applies is stateful, it updates context information in a network service header of the packet to indicate that the service function applied at the network node is stateful and that traffic for a reverse path matching the classification criteria is to be returned to the network node.

Knowledge representationH04L 45/306H04L 41/342H04L 47/2441H04L 69/22

AI classification

Knowledge representation0.97
AI hardware0.28
Natural language0.05
Vision0.01
Planning0.01
Machine learning0.00
Evolutionary computation0.00
Speech0.00

Ownership

CISCO TECHNOLOGY, INC.

assignment · 303900859

Assignors

GUICHARD, JAMES, QUINN, PAUL, WARD, DAVID, KUMAR, SURENDRA, YADAV, NAVINDRA, SMITH, MICHAEL R., BAGEPALLI, NAGARAJ A.

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

© 2026 NYSGPT2525 LLC