CBM: Online Strategies on Cost-Aware Buffer Management for Mobile Video Streaming
CBM: Online Strategies on Cost-Aware Buffer Management for Mobile Video Streaming
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DOI：
10.1109/tmm.2013.2284894
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发表时间：
2014
影响因子：
7.3
通讯作者：
Jian-Qian He;Zheng Xue;Dili Wu;D. Wu;Yonggang Wen
中科院分区：
文献类型：
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作者：
Jian-Qian He;Zheng Xue;Dili Wu;D. Wu;Yonggang Wen
由于智能手机和平板电脑的迅速普及，移动的视频流量近年来呈指数级增长，并开始主导移动的互联网。在现实中，移动的视频应用通常采用缓冲技术来处理带宽波动并最小化随机无线信道对用户体验的影响。然而，最近的测量工作表明，移动的用户在观看视频期间往往比PC用户更频繁地中止。如此高的中止率导致缓冲视频数据的显著浪费，这直接转化为移动的用户的金钱和能量成本。针对移动的视频流应用，提出了一种智能缓存管理策略CBM（Cost-aware Buffer Management）。我们的目的是在尊重某些用户体验要求的同时，最大限度地降低未消耗视频数据所带来的成本。为此，我们将该问题转化为一个约束随机优化问题，并应用李雅普诺夫优化理论推导出相应的在线成本最小化策略。与传统的基于策略的策略不同，我们提出的CBM策略可以提供可证明的性能保证与明确的界限。我们还进行了大量的模拟，以验证我们提出的策略的有效性，我们的实验结果表明，CBM实现了显着的收益超过现有的计划。
Mobile video traffic, owing to the rapid adoption of smartphones and tablets, has been growing exponentially in recent years and started to dominate the mobile Internet. In reality, mobile video applications commonly adopt buffering techniques to handle bandwidth fluctuation and minimize the impact of stochastic wireless channels on user experiences. However, recent measurement work reveals that mobile users tend to abort more frequently than PC users during viewing videos. Such a high abortion rate results in a significant wastage of buffered video data, which is directly translated into monetary and energy cost for mobile users. In this paper, we propose an intelligent buffer management strategy called CBM (Cost-aware Buffer Management), for mobile video streaming applications. Our purpose is to minimize cost induced by un-consumed video data while respecting certain user experience requirements. To this objective, we formulate the problem into a constrained stochastic optimization problem, and apply the Lyapunov optimization theory to derive the corresponding online strategy for cost minimization. Different from conventional heuristic-based strategies, our proposed CBM strategy can provide provably performance guarantee with explicit bounds. We also conduct extensive simulations to validate the effectiveness of our proposed strategy and our experimental results show that CBM achieves significant gains over existing schemes.