US Patent Application 17736457. METHOD AND SYSTEM FOR QUANTIFYING EFFECTS OF A CONTENT DELIVERY NETWORK SERVER ON STREAMING-MEDIA QUALITY AND PREDICTING ROOT CAUSE ANALYSIS simplified abstract

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METHOD AND SYSTEM FOR QUANTIFYING EFFECTS OF A CONTENT DELIVERY NETWORK SERVER ON STREAMING-MEDIA QUALITY AND PREDICTING ROOT CAUSE ANALYSIS

Organization Name

AT&T Intellectual Property I, L.P.

Inventor(s)

Xiaowen Mang of Morganville NJ (US)

Carolyn Roche Johnson of Holmdel NJ (US)

Gregory J. Smith of Shrewsbury NJ (US)

Peni-Taito Payne of Katy TX (US)

METHOD AND SYSTEM FOR QUANTIFYING EFFECTS OF A CONTENT DELIVERY NETWORK SERVER ON STREAMING-MEDIA QUALITY AND PREDICTING ROOT CAUSE ANALYSIS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17736457 titled 'METHOD AND SYSTEM FOR QUANTIFYING EFFECTS OF A CONTENT DELIVERY NETWORK SERVER ON STREAMING-MEDIA QUALITY AND PREDICTING ROOT CAUSE ANALYSIS

Simplified Explanation

This patent application discusses a method for identifying and detecting anomalies in the performance of streaming media on end-user devices.

  • The method involves determining a threshold value for a key performance indicator (KPI) of streaming media based on a desired level of performance.
  • Performance records are collected for a content delivery network (CDN) that caches and serves media content to end-user devices.
  • Predicted values of the streaming-media KPI are generated using the performance records of the CDN.
  • These predicted values are then compared to the threshold value to determine if they meet the desired level of performance.
  • If a predetermined number of predicted values fail to satisfy the threshold value, an anomaly is detected.
  • The detection of anomalies can help identify issues with the streaming media performance and allow for timely troubleshooting and improvements.
  • The patent application also mentions that there may be other embodiments or variations of this method.


Original Abstract Submitted

Aspects of the subject disclosure may include, for example, identifying a threshold value of a streaming-media key performance indicator (KPI) based on a predetermined target portion of end-user devices that provide an acceptable performance. Performance records are obtained for a content delivery network (CDN) adapted to cache and serve media content requested by the end-user devices. Predicted values of the streaming-media KPI are generated according to the performance records of the CDN and compared to the threshold value of the streaming-media KPI to obtain a comparison. An anomaly is detected according to the comparison, to indicate that a predetermined number of the predicted values of the streaming-media KPI fail to satisfy the threshold value. Other embodiments are disclosed.

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