AbstractThis paper proposes a Device-to-Device cooperative caching framework for streaming video consumption by mobile users. For downloading video with cooperative caching, a mobile device first searches within its neighboring Bluetooth-connected peers for whole or parts of the requested video before downloading them from a Content Provider’s server. A specific cooperative caching framework, namely, value-based caching is proposed in which the value of caching a hierarchically coded streaming video segment is defined for given pricing and video sharing models. Within this framework, we develop an Adaptive Quality (AQ) provisioning algorithm that minimizes the overall video content provisioning cost incurred due to the bandwidth usage of a cellular network. Detailed simulation experiments for functional validation and performance evaluation in comparison with other comparable caching strategies are then performed under different protocols and network parameters. It is shown that the proposed mechanism is able to appreciably reduce the overall video provisioning cost in the presence of end-user mobility.

中文翻译：

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设备到设备的流视频缓存，以降低蜂窝下载成本

摘要本文提出了一种设备到设备协作缓存框架，用于移动用户的流视频消费。为了通过协作缓存下载视频，移动设备首先从其内容提供商的服务器下载所需视频的全部或部分，然后在其相邻的蓝牙连接对等设备中进行搜索。一个特定的协作式缓存框架，即基于价值的缓存提出了其中针对给定的定价和视频共享模型定义了对分层编码的流视频段进行缓存的值的建议。在此框架内，我们开发了一种自适应质量（AQ）调配算法，该算法可将由于蜂窝网络的带宽使用而引起的总体视频内容调配成本降至最低。然后，在不同的协议和网络参数下，进行了功能验证和性能评估的详细模拟实验，并与其他类似的缓存策略进行了比较。结果表明，在存在最终用户移动性的情况下，所提出的机制能够显着降低总体视频供应成本。