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Mobile Video Delivery via Human Movement

机译:通过人类运动的移动视频交付

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摘要

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.
机译:本文提出了一项新的服务,该服务将在热门场地部署售货亭以使用Wi-Fi接入点将数字媒体存储和传输到用户的个人设备,这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。该设计中的一个关键组件是对用户移动性的深入了解。我们从两个最大的基于位置的社交网络(Foursquare和Gowalla)收集真正的移动迹线,并分析不同城市的宏观和微观人类流动。基于我们获得的见解,我们研究了几种算法,以确定内容和设计路由算法的初始放置,以优化内容传递。我们进一步考虑了几个实际问题,例如如何激励用户转发内容,如何管理版权,如何确保安全性,以及如何实现服务发现。我们展示了使用痕量驱动模拟的视频组的可行性。

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