使用ITU-T标准P.1203和Google Puppeteer的DASH流的自动QoE评估

IF 0.6 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Ad Hoc & Sensor Wireless Networks Pub Date : 2019-11-25 DOI:10.1145/3345860.3361519

Paola Guzmán Castillo, P. Vila, J. C. Guerri

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引用次数: 6

摘要

本文提出了一个评估DASH (HTTP上的动态自适应流)系统的框架，它允许以自动化和系统的方式进行性能测量。我们使用了谷歌开发的Node.js库Puppeteer，它提供了一个高级API。这个API允许我们在Chrome Devtools协议上自动操作，例如:开始播放，进行带宽更改和保存质量更改过程的结果，时间戳，档位等。根据这些数据进行处理，以便重建可视化视频，提取质量指标，并使用ITU-T P.1203标准对QoE(体验质量)进行自动评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automatic QoE Evaluation of DASH Streaming using ITU-T Standard P.1203 and Google Puppeteer

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.

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来源期刊

Ad Hoc & Sensor Wireless Networks 工程技术-电信学

CiteScore

2.00

自引率

44.40%

发文量

审稿时长

8 months

期刊介绍： Ad Hoc & Sensor Wireless Networks seeks to provide an opportunity for researchers from computer science, engineering and mathematical backgrounds to disseminate and exchange knowledge in the rapidly emerging field of ad hoc and sensor wireless networks. It will comprehensively cover physical, data-link, network and transport layers, as well as application, security, simulation and power management issues in sensor, local area, satellite, vehicular, personal, and mobile ad hoc networks.