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首页> 外文会议>2016 IFIP Networking Conference and Workshops >Device-to-device mobile data offloading for music streaming
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Device-to-device mobile data offloading for music streaming

机译：设备到设备的移动数据分流，用于音乐流

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Device-to-device communication (also referred to as opportunistic networking) is considered a feasible means for offloading mobile data traffic. Due to the sporadic nature of contact opportunities, applications in the domain of device-to-device communication are assumed to be delay-tolerant, with content delivery deadlines being in the order of hours. However, predictions suggest that by 2020 more than 75% of the traffic volumes at mobile operators will be generated by multimedia contents which is often seen as data served in real-time. In this paper we explore how the concept of opportunistic networking can be used for dissemination of real-time streaming contents for users in urban environments without degrading quality of experience. We first present a general framework for offloading multimedia data that is organized in terms of playlists, and we then investigate the performance of the framework in realistic urban environments using the music streaming service Spotify as a use-case. Our results show that it is feasible to use opportunistic device-to-device communication in the context of music streaming. We demonstrate that the system performance is insensitive to a number of parameters such as playlist length distribution, and initial content availability distribution, however it exhibits sensitivity towards the amount of requested data and the node density.
机译：设备到设备的通信（也称为机会网络）被认为是减轻移动数据流量负担的可行方法。由于接触机会的零星性质，设备到设备通信领域中的应用程序被假定为可容忍延迟的，内容交付的截止时间约为数小时。然而，预测表明，到2020年，移动运营商超过75％的业务量将由多媒体内容产生，而多媒体内容通常被视为实时提供的数据。在本文中，我们探索机会网络的概念如何在不降低体验质量的前提下，为城市环境中的用户分发实时流内容。我们首先提供一个按播放列表组织的用于卸载多媒体数据的通用框架，然后我们使用音乐流服务Spotify作为用例研究该框架在现实的城市环境中的性能。我们的结果表明，在音乐流的上下文中使用机会主义的设备到设备通信是可行的。我们证明了系统性能对许多参数（例如播放列表长度分布和初始内容可用性分布）不敏感，但是它对请求的数据量和节点密度表现出敏感性。

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