Conviva Inc.

Wensi Fu

Aditya Ravikumar Ganjam

Jibin Zhan

Shubo Liu

Dmitry Ryashchenstsev

Henry Milner

Oleg Vasilyev

Sandeep Pombra

Providing network insights is disclosed. A mapping between a device identifier and one or more nodes in a network topology associated with a network service provider is obtained. End user experience data associated with the device identifier is obtained. Based at least in part on the device identifier. at least some of the obtained end user experience data is associated with at least some of the one or more nodes in the network topology associated with the network service provider. Processing is performed based at least in part on the association of the at least some of the obtained end user experience data with the at least some of the one or more nodes in the network topology associated with the network service provider. Output is provided based at least in part on the processing.

Network insights

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.

Fault isolation in over-the-top content (OTT) broadband networks

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Sunnyvale, CA, United States of America

Wensi Fu