The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 06, 2022

Filed:

Feb. 10, 2021
Applicant:

Exfo Solutions Sas, Saint-Jacques-de-la-Lande, FR;

Inventors:

Thierry Boussac, Rennes, FR;

Fabrice Pelloin, Rennes, FR;

Assignee:

EXFO Solutions SAS, Saint-Jacques-de-la-Lande, FR;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/142 (2022.01); H04L 41/0631 (2022.01); H04L 41/16 (2022.01); H04L 43/028 (2022.01); H04L 43/062 (2022.01); H04L 41/0604 (2022.01); H04B 17/318 (2015.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
H04L 41/142 (2013.01); G06N 20/00 (2019.01); H04B 17/318 (2015.01); H04L 41/065 (2013.01); H04L 41/0609 (2013.01); H04L 41/16 (2013.01); H04L 43/028 (2013.01); H04L 43/062 (2013.01);
Abstract

The invention concerns a method and a system for determining root-cause diagnosis of events occurring during the operation of a communication network comprising monitoring time signals representative of the operation of the network to detect the occurrence of an event relative to the network traffic, and for each detected event, during the duration of said event obtaining distributions of data on several dimensions of the network linked to said event, automatically determining an event root-cause diagnosis of the detected event, called single event diagnosis, comprising at least one element of said distributions, an element being a value taken by a network dimension having a contribution in said distributions of data, the single event diagnosis determination using rules of business logic configuration organized hierarchically, which are applied according to said hierarchy to select at least one element of said distributions, the selection of more than one element comprising machine learning clustering.


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