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:
Apr. 28, 2020

Filed:

Apr. 24, 2018
Applicant:

Conviva Inc., Foster City, CA (US);

Inventors:

Oleg Vasilyev, Palo Alto, CA (US);

Wensi Fu, Sunnyvale, CA (US);

Henry Milner, Berkeley, CA (US);

Sandeep Pombra, Los Altos Hills, CA (US);

Assignee:

Conviva Inc., Foster City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/28 (2006.01); H04L 12/24 (2006.01);
U.S. Cl.
CPC ...
H04L 41/065 (2013.01); H04L 41/0816 (2013.01); H04L 41/12 (2013.01); H04L 41/145 (2013.01); H04L 41/147 (2013.01); H04L 41/5035 (2013.01);
Abstract

Fault isolation in over-the-top content (OTT) broadband networks is disclosed. Network topology information associated with a network service provider is received. Session information associated with one or more streaming sessions is received. A predictive model is generated for predicting session quality at least in part by using at least some of the network topology and session summary information as features. The predictive model is used to determine a first prediction of session quality using a first set of feature values. A second set of feature values is generated at least in part by replacing a first feature value in the first set of feature values with a replacement value. The predictive model is used to determine a replacement prediction of session quality using the second set of feature values including the replacement value with which the first feature value was replaced. Based at least in part on the first prediction and the replacement prediction, an impact of the first feature value on session quality is determined. A fault in a content delivery ecosystem is isolated based at least in part on the determined impact of the first feature value on session quality.


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