Invention Grant
- Patent Title: Content quality assessment and prediction via flows
-
Application No.: US16171851Application Date: 2018-10-26
-
Publication No.: US10594569B2Publication Date: 2020-03-17
- Inventor: Eric Zavesky , Lee Begeja , David Crawford Gibbon , Raghuraman Gopalan , Zhu Liu , Yadong Mu , Bernard S. Renger , Behzad Shahraray
- Applicant: AT&T Intellectual Property I, L.P.
- Applicant Address: US GA Atlanta
- Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee Address: US GA Atlanta
- Agency: Guntin & Gust, PLC
- Agent Jay Anderson
- Main IPC: H04L12/26
- IPC: H04L12/26 ; H04L12/24 ; H04L12/851

Abstract:
Aspects of the subject disclosure may include, for example, analyzing content flow data in a communication network to obtain flow statistics; the statistics are aggregated to construct a model of the content flow based on the aggregated flow statistics. Operations of network nodes are predicted based on the model; a content delivery path in the communication network is identified. A quality of service is detected for network nodes on the content delivery path. The detected quality of service is compared with a predicted quality of service based on the model; a network anomaly is detected based on the comparing. The content flow on the content delivery path is adjusted responsive to detection of the network anomaly. Other embodiments are disclosed.
Public/Granted literature
- US20190075029A1 CONTENT QUALITY ASSESSMENT AND PREDICTION VIA FLOWS Public/Granted day:2019-03-07
Information query