METHOD FOR ESTIMATING A TRAFFIC MATRIX IN A COMMUNICATION NETWORK USING NON-STATIONARY DATA
Patent №
US 7,363,386
Granted
2008-04-22
Filed 2003
Owner
SPRINT COMMUNICATIONS COMPANY L.P.
Lab
—
AI components
2
ml · evo
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
10702699
The present invention comprises methods for increasing the rank of the routing matrix of an IP network by systematically altering link weights in the IP network. A full rank routing matrix may be used with further methods in accordance with the present invention to estimate the mean traffic of the IP network based upon the full rank routing matrix and measured link utilization values. The mean traffic and the covariance of the traffic may be iteratively estimated until the estimates coverage. Example methods in accordance with the present invention for estimating mean traffic and covariance of traffic are described for both stationary and non-stationary link utilization data.
AI classification
Ownership
SPRINT COMMUNICATIONS COMPANY L.P.
assignment · 146790290
Assignors
NUCCI, ANTONIO, TAFT, NINA
On an employer assignment, the assignors are typically the inventors.