Automatic QoE evaluation of DASH streaming using ITU-T Standard P.1203 and Google Puppeteer

被引：6

作者：

Guzman Castillo, Paola ^{[1
]}

Arce Vila, Pau ^{[1
]}

Guerri Cebollada, Juan Carlos ^{[1
]}

机构：

[1] Univ Politecn Valencia, Inst Telecommun & Multimedia Applicat, Valencia, Spain

来源：

PE-WASUN'19: PROCEEDINGS OF THE 16TH ACM INTERNATIONAL SYMPOSIUM ON PERFORMANCE EVALUATION OF WIRELESS AD HOC, SENSOR, & UBIQUITOUS NETWORKS | 2019年

关键词：

Performance evaluation; DASH; Puppeteer; Video Streaming; Adaptive Streaming; QoE;

D O I：

10.1145/3345860.3361519

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This document presents a framework for the evaluation of DASH (Dynamic Adaptive Streaming over HTTP) systems, which allows performance measurements to be carried out in an automated and systematic way. We have used Puppeteer, the Node.js library developed by Google, which provides a high level API. This API allows us to automate actions on Chrome Devtools Protocol, such as: start playback, make bandwidth changes and save results of quality change processes, timestamps, stalls and so on. From this data, a processing is made to allow the reconstruction of the visualized video, as well as the extraction of quality metrics and the automated evaluation of the QoE (Quality of Experience) using the ITU-T P.1203 standard.

引用

下载

页码：79 / 86

页数：8

共 11 条

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