基于社交网络模型的视频分享关键技术研究

项目名称： 基于社交网络模型的视频分享关键技术研究

项目编号： No.61202445

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 计算机科学学科

项目作者： 刘梦娟

作者单位： 电子科技大学

项目金额： 25万元

中文摘要： 随着YouTube类网站获得极大成功，视频分享服务受到广泛关注。本项目针对当前P2P视频分享系统中存在的重叠网络高度动态性、资源分布不均匀、视频切换延时过长、流量频繁穿越ISP骨干链路等问题，将社交网络模型应用于视频分享系统中，拟在以下方面展开研究：（1）基于兴趣图谱和位置属性的重叠网络构建机制，以克服用户频繁切换视频导致的重叠网络高度动态性，缓解ISP域间流量压力；（2）基于知识量模型的跨重叠网络辅助节点协作策略，以优化系统的带宽资源配置，提高非热门视频用户的收看质量；（3）时效优先的数据调度策略，以保证短视频用户的收看质量、实现均衡负载；（4）基于用户偏好的视频预取与缓存机制，以改善用户的视频切换延时，扩大视频分享范围；（5）基于原型系统的特征测量数据，建立视频分享系统的复杂网络模型，研究其传播机理和运行规律，为视频分享系统的性能解释与评价模型提供理论证明。

中文关键词： 对等网络；ISP友好；缓存策略；预取策略；兴趣模型

英文摘要： Video sharing service represented by YouTube has attracted widespread attention in recent years. However the sustainable development is severely hindered by the intrinsic limit of the C/S architecture. As an alternative promising solution, P2P streaming has been proposed for large-scale video sharing. Unfortunately, using P2P delivery for short video clips can be quite challenging. First, the P2P overlay will suffer from an extremely high churn rate, because the length of a YouTube video is short and a user often quickly loads another video when finishing the previous one. Second, the startup and playback delay would be effectively amplified from the perception of users for the shorter length. Third, there are a huge number of unpopular videos with few viewers, and thus many of the P2P overlays will be too small to function well. Moreover, P2P streaming would dramatically increase the traffic over inter-ISP links like other P2P applications. In order to resolve above questions, our research will focus on the following aspects: (1) a locality-aware overlay construction mechanism based on social interest graph, which can efficiently alleviate the inter-ISP traffic and the dynamics of the overlay caused by switching the videos frequently. By long-time measuring the YouTube-like videos, we find that the videos ha

英文关键词： Peer-to-Peer；ISP-Friendly；Cache Policy；Prefetch Strategy；Interest Model