US 12,438,798 B2
Network trace categorization in content delivery
Si Chen, Beijing (CN); Tongyu Dai, Beijing (CN); Lemei Huang, Beijing (CN); and Chenyu Tian, Beijing (CN)
Assigned to Beijing YoJaJa Software Technology Development Co., Ltd., Beijing (CN)
Filed by Beijing YoJaJa Software Technology Development Co., Ltd., Beijing (CN)
Filed on Jan. 4, 2024, as Appl. No. 18/404,772.
Application 18/404,772 is a continuation of application No. PCT/CN2023/140604, filed on Dec. 21, 2023.
Prior Publication US 2025/0211511 A1, Jun. 26, 2025
Int. Cl. H04L 43/062 (2022.01); H04L 43/10 (2022.01); H04L 43/16 (2022.01)
CPC H04L 43/10 (2013.01) [H04L 43/062 (2013.01); H04L 43/16 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a network trace from a playback session of a delivery of content being managed by a content management system, wherein the network trace captures network conditions during the delivery of the content;
decomposing the network trace into a low frequency sub-trace and a high frequency sub-trace based on a threshold, wherein the threshold is used to divide the network trace into the low frequency sub-trace and the high frequency sub-trace, wherein decomposing the network trace comprises:
converting the network trace into the low frequency sub-trace and the high frequency sub-trace from a time domain to a frequency domain; and
converting the low frequency sub-trace to the time domain;
extracting a value for a feature for the network trace based on the low frequency sub-trace;
classifying the network trace into a category based on the value; and
performing an action based on the category for the content management system.