Cache-Version Selection and Content Placement for Adaptive Video Streaming in Wireless Edge Networks
Cache-Version Selection and Content Placement for Adaptive Video Streaming in Wireless Edge Networks
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DOI：
10.23919/wiopt47501.2019.9144116
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发表时间：
2019-03
期刊：
影响因子：
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通讯作者：
Archana Sasikumar;Tao Zhao;I.-Hong Hou;S. Shakkottai
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文献类型：
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作者：
Archana Sasikumar;Tao Zhao;I.-Hong Hou;S. Shakkottai
无线边缘网络通过在无线网络的边缘提供计算和存储资源，有望为移动的用户提供更好的视频流服务。然而，由于用户兴趣、用户设备、视频版本或分辨率、缓存大小、网络条件等的多样性，决定将视频内容放置在何处以及移动的用户设备应当选择哪个高速缓存和视频版本是具有挑战性的。在本文中，我们研究了无线边缘网络中的自适应视频流的缓存版本选择和内容放置的联合优化。我们提出了实用的分布式算法，在每个用户设备和每个网络缓存，以最大限度地提高整体网络效用。除了证明我们的算法的最优性，我们实现了我们的算法，以及几个基线算法的ndnSIM，一个基于ns-3的命名数据网络模拟器。模拟评估表明，我们的算法显着优于传统的启发式解决方案。
Wireless edge networks are promising to provide better video streaming services to mobile users by provisioning computing and storage resources at the edge of wireless network. However, due to the diversity of user interests, user devices, video versions or resolutions, cache sizes, network conditions, etc., it is challenging to decide where to place the video contents, and which cache and video version a mobile user device should select. In this paper, we study the joint optimization of cache-version selection and content placement for adaptive video streaming in wireless edge networks. We propose practical distributed algorithms that operate at each user device and each network cache to maximize the overall network utility. In addition to proving the optimality of our algorithms, we implement our algorithms as well as several baseline algorithms on ndnSIM, an ns-3 based Named Data Networking simulator. Simulation evaluations demonstrate that our algorithms significantly outperform conventional heuristic solutions.