pitree-dataset/index.html at master · newtrip-project/pitree-dataset · GitHub

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<title>PiTree Dataset
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<div class="menu-category">PiTree Dataset</div>
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<h1>PiTree Dataset
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<h2>About
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<p>PiTree dataset is motivated by the insufficiency of existing datasets in adaptive video streaming.
Many existing emulation datasets, such as <a href="https://github.com/hongzimao/pensieve">Pensieve</a> or <a href="https://github.com/usc-nsl/oboe">Oboe</a>, are collected years ago with the average bandiwdth of around 1Mbps.
However, with the recent development of communication technology (e.g., 5G), Internet nowadays usually provides a much higher bandwidth of more than 10Mbps.
Therefore, we feel that it is essential to construct a new dataset on both videos and network traces to faithfully evaluate the performance of bitrate adaption algorithms.
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<p>You may want to visit the following pages for the details of the dataset:
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<li><p><a href="traces/index.html">Traces</a>
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<p>The GitHub repository hosting the PiTree dataset:
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<div class="blocktitle">Citation</div>
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<p>@inproceedings{meng2019pitree,<br />
&nbsp&nbsp author = {Meng, Zili and Chen, Jing and Guo, Yaning and Sun, Chen and Hu, Hongxin and Xu, Mingwei},<br />
&nbsp&nbsp title = {PiTree: Practical Implementation of ABR Algorithms Using Decision Trees},<br />
&nbsp&nbsp year = {2019},<br />
&nbsp&nbsp url = {<a href="https://doi.org/10.1145/3343031.3350866">https://doi.org/10.1145/3343031.3350866</a>},<br />
&nbsp&nbsp booktitle = {Proceedings of the 27th ACM International Conference on Multimedia},<br />
&nbsp&nbsp pages = {2431–2439},<br />
&nbsp&nbsp location = {Nice, France},<br />
&nbsp&nbsp series = {MM ’19}<br />
}
</p>
<p>@article{meng2021practically,<br />
&nbsp&nbsp author = {Meng, Zili and Guo, Yaning and Shen, Yixin and Chen, Jing and Zhou, Chao and Wang, Minhu and Zhang, Jia and Xu, Mingwei and Sun, Chen and Hu, Hongxin},<br />
&nbsp&nbsp title = {Practically Deploying Heavyweight Adaptive Bitrate Algorithms With Teacher-Student Learning},<br />
&nbsp&nbsp year = {2021},<br />
&nbsp&nbsp url = {<a href="https://doi.org/10.1109/TNET.2020.3048666">https://doi.org/10.1109/TNET.2020.3048666</a>},<br />
&nbsp&nbsp journal = {IEEE/ACM Transactions on Networking}, <br />
&nbsp&nbsp pages = {723-736},<br />
&nbsp&nbsp volume = {29},<br />
&nbsp&nbsp number = {2}<br />
}
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