Community based effective social video contents placement in cloud centric CDN network
Community based effective social video contents placement in cloud centric CDN network
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DOI：
10.1109/icme.2014.6890134
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发表时间：
2014-07
期刊：
影响因子：
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通讯作者：
Han Hu;Yonggang Wen;Tat-Seng Chua;Zhi Wang;Jian Huang;Wenwu Zhu;Di Wu
中科院分区：
文献类型：
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作者：
Han Hu;Yonggang Wen;Tat-Seng Chua;Zhi Wang;Jian Huang;Wenwu Zhu;Di Wu
在线社交网络（OSN）的日益普及已经改变了社交视频内容的传播模式。考虑到社交视频的独特功能，例如，由于社交视频具有海量、长尾、短长度等特点，如何利用信息传播模式提高其内容分发效率越来越受到关注。本文首先通过大规模的测量来探讨社区分类下的社会视频观看行为。在此基础上，研究了以云为中心的内容分发网络（CDN）架构下社区驱动的共享视频分发问题。特别是，我们制定它作为一个约束优化问题的目标，以尽量减少运营成本。约束是平均传输延迟。在此基础上，我们提出了一个动态算法来寻求最优解。跟踪驱动的实验进一步表明，该算法能够在金钱代价和QoS之间做出更好的权衡，在满足QoS要求的同时，以更少的操作代价获得优于传统方法的性能。
The increasing popularity of online social networks (OSNs) has been transforming the dissemination pattern of social video contents. Considering the unique features of social videos, e.g., huge volume, long-tailed, and short length, how to utilize the information propagation pattern to improve the efficiency of content distribution for social videos attracts more and more attention. In this paper, we first conduct a large scale measurement to explore the social video viewing behavior under the community classification. Based on the measurement, we investigate the community driven sharing video distribution problem under the cloud-centric content delivery network (CDN) architecture. In particular, we formulate it as a constrained optimization problem with the objective to minimize the operational cost. The constraint is the averaged transmission delay. Following that, we propose a dynamic algorithm to seek the optimal solution. Our trace-driven experiments further demonstrate our algorithm can make a better tradeoff between monetary cost and QoS, and outperforms the traditional method with less operational cost while satisfying the QoS requirement.