YouTube移动流媒体客户端的公共数据集

2018 Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2018-06-01 DOI:10.23919/TMA.2018.8506503

Theodoros Karagkioules, D. Tsilimantos, S. Valentin, Florian Wamser, Bernd Zeidler, Michael Seufert, Frank Loh, P. Tran-Gia

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引用次数: 17

摘要

数据集是分析、建模和优化网络流量的宝贵资源。本文描述了一个新的公共数据集，用于YouTube在移动设备上流行的视频流客户端。目前，我们在欧洲的两个受控环境中提供了374小时的网络、传输和应用层时间同步测量。在详细描述了我们的实验设计之后，我们讨论了如何使用我们的数据集来分析和优化HTTP自适应流(HAS)流量，并指出具体的用例。为了确保可重复性和社区利益，我们将数据集发布在[1]。

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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A Public Dataset for YouTube's Mobile Streaming Client

Datasets are a valuable resource to analyze, model and optimize network traffic. This paper describes a new public dataset for YouTube's popular video streaming client on mobile devices. At the moment, we are providing 374 hours of time-synchronous measurements at the network, transport and application layer from two controlled environments in Europe. After describing our experimental design in detail, we discuss how to use our dataset for the analysis and optimization of HTTP Adaptive Streaming (HAS) traffic and point to specific use cases. To assure reproducibility and for community benefit, we publish the dataset at [1].

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2018 Network Traffic Measurement and Analysis Conference (TMA)

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