Mobile video delivery via human movement

G. Lee, S. Rallapalli, Wei Dong, Yi-Chao Chen, L. Qiu, Yin Zhang
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引用次数: 13

Abstract

This paper proposes VideoFountain, a novel service that deploys kiosks at popular venues to store and transmit digital media to users' personal devices using Wi-Fi access points, which may not have Internet connectivity. We leverage mobile users to deliver content to these kiosks. A key component in this design is an in-depth understanding of user mobility. We gather real mobility traces from two largest location-based social networks (Foursquare and Gowalla) and analyze both macroscopic and microscopic human mobility in different cities. Based on the insights we gain, we study several algorithms to determine the initial placement of content and design routing algorithms to optimize the content delivery. We further consider several practical issues, such as how to incentivize users to forward content, how to manage copyrights, how to ensure security, and how to achieve service discovery. We demonstrate the feasibility of VideoFountain using trace-driven simulations.
移动视频传输通过人体运动
本文提出了VideoFountain,这是一项新颖的服务,它在热门场所部署信息亭,通过Wi-Fi接入点将数字媒体存储和传输到用户的个人设备上,这些设备可能没有互联网连接。我们利用移动用户向这些信息亭提供内容。这种设计的一个关键组成部分是对用户移动性的深入理解。我们从两个最大的基于位置的社交网络(Foursquare和Gowalla)收集了真实的移动痕迹,并分析了不同城市中宏观和微观的人类移动。基于我们获得的见解,我们研究了几种算法来确定内容的初始位置,并设计路由算法来优化内容交付。我们进一步考虑了几个实际问题,如如何激励用户转发内容,如何管理版权,如何确保安全,以及如何实现服务发现。我们使用跟踪驱动的模拟演示了VideoFountain的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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