TECHNIQUE FOR COLLECTING OPERATING INFORMATION FROM NETWORK ELEMENTS, AND FOR CONTROLLING NETWORK ELEMENT BEHAVIOR IN A FEEDBACK-BASED, ADAPTIVE DATA NETWORK

Patent №

US 6,973,034

Granted

2005-12-06

Filed 1999

Owner

CISCO TECHNOLOGY, INC.

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09342742

A feedback-based adaptive network is described wherein at least a portion of the network elements report operating information relating to network conditions to a centralized data store. The information which is reported to the data store is analyzed by a policy engine which includes a plurality of application specific plug-in policies for analyzing selected information from the data store and for computing updated control information based upon the analysis of the information. The updated control information is fed back to selected network elements to thereby affect operation of the selected elements. Additionally the adaptive, feedback-based network of the present invention may include a network quality monitoring system for evaluating performance characteristics or other aspects of the network based upon predetermined standards or criteria.

Machine learningPlanningA63B 53/0408A63B 53/0466H04L 41/0816H04L 69/40A63B 53/0412A63B 53/0433A63B 2053/0491

AI classification

Planning1.00
Machine learning0.94
Knowledge representation0.28
AI hardware0.05
Evolutionary computation0.00
Natural language0.00
Vision0.00
Speech0.00

Ownership

CISCO TECHNOLOGY, INC.

assignment · 107290707

Assignors

NATARAJAN, SHANKAR, HARVEY, ANDREW G., LEE, HSUAN-CHUNG, RAWAT,VIPIN, PEREIRA,LEO

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

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