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:
Aug. 17, 2021

Filed:

Mar. 22, 2018
Applicant:

Juniper Networks, Inc., Sunnyvale, CA (US);

Inventors:

Nosherwan Minwalla, Redwood City, CA (US);

Guangyu Zhu, Milpitas, CA (US);

David Tung, Sunnyvale, CA (US);

Ai He, San Jose, CA (US);

Jayabharat Boddu, Los Altos, CA (US);

Matthew Jeremy Mellin, San Jose, CA (US);

Javier Antich, Valencia, ES;

Assignee:

Juniper Networks, Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06F 9/445 (2018.01); G06F 30/20 (2020.01); G06N 20/00 (2019.01); H04L 12/24 (2006.01); G06N 5/00 (2006.01); H04L 12/26 (2006.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06F 30/20 (2020.01); G06F 9/44505 (2013.01); G06N 5/003 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); H04L 41/142 (2013.01); H04L 41/145 (2013.01); H04L 41/147 (2013.01); H04L 43/50 (2013.01); H04L 41/16 (2013.01);
Abstract

In general, techniques are described for automated network device model creation using randomized test beds. A device comprising a processor may be configured to perform the techniques. The processor may generate, based on simulation configuration files, configuration objects for performing a plurality of simulation iterations with respect to the network device operating within a test environment. Each of the simulation iterations may be configured to randomly assign parameters within the test environment. The driver may conduct, based on the configuration objects, each of the simulation iterations within the test environment to collect simulation datasets representative of operating states of the network device. The analytics module may perform machine learning with respect to each of the simulation datasets to generate a model that predicts, responsive to configuration parameters, an operating state of the network device when configured with the configuration parameters for the network device.


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