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. 08, 2020

Filed:

Dec. 09, 2016
Applicant:

Alcatel Lucent, Boulogne Billancourt, FR;

Inventors:

Diego Lugones, Blanchardstown, IE;

Jesus Omana Iglesias, Blanchardstown, IE;

Thomas Voith, Kornwestheim, DE;

Stefanie Braun, Stuttgart, DE;

Jordi Arjona Aroca, Blanchardstown, IE;

Joachim Riemer, Stuttgart, DE;

Volker Hilt, Stuttgart, DE;

Jurgen Sienel, Stuttgart, DE;

Assignee:

Alcatel Lucent, Nozay, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/24 (2006.01); H04L 12/911 (2013.01); H04L 12/917 (2013.01); H04L 12/927 (2013.01); H04L 12/26 (2006.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
H04L 41/145 (2013.01); H04L 41/0896 (2013.01); H04L 43/0817 (2013.01); H04L 47/76 (2013.01); H04L 47/78 (2013.01); H04L 47/803 (2013.01); H04L 47/823 (2013.01); H04L 67/10 (2013.01);
Abstract

A controller is provided for a Cloud based service handling multiple types of traffic in a telecommunications network, the controller comprising: a first stage configured to automatically model use of Cloud resources allocated to the service for specific workloads of each of a plurality of traffic types, so as provide a variety of models for each traffic type; a second stage configured to automatically reduce the number of and generalise the models so as to provide generalised models for each traffic type applicable to other workloads than the specific loadings; a third stage configured to automatically evaluate accuracy of the generalised models for various combinations of given workloads, in each combination each of the given workloads being of a corresponding traffic type, and to select one of the generalised models dependent upon evaluated accuracy; and a fourth stage configured to control operation of the Cloud resources according to the selected model.


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