The rapid growth of video traffic poses serious challenges to the current Internet. Content-Centric Networking (CCN) as a promising candidate has been proposed to reengineer the Internet architecture. The in-network caching and named content communication model of CCN can enhance the video streaming applications and reduce the network workload. Due to the bandwidth-consuming characteristic of video streaming, the aggressive transmission of video data will cause a reduction of overall network efficiency. In this paper, we present an adaptive video transmission mechanism over Mobile Edge Computing- (MEC-) based CCN. The computation and storage resources of the MEC server are utilized to facilitate the video delivery. Our mechanism adopts a scalable video coding scheme to adaptively control transmission rate to cope with the network condition variation. To analyse the equilibrium property of the proposed mechanism, an analytical model is deduced by using network utility function and convex programming. We also take into account the packet loss in wired and wireless links and present a MEC assistant loss recovery algorithm. The experiment results demonstrate the performance improvement of our proposed mechanism.

中文翻译：

---

基于 MEC 的以内容为中心的网络自适应视频传输机制

视频流量的快速增长给当前的互联网带来了严峻的挑战。以内容为中心的网络 (CCN) 作为一种有前途的候选方案已被提议用于重新设计互联网架构。CCN的网内缓存和命名内容通信模型可以增强视频流应用并减少网络工作量。由于视频流的带​​宽消耗特性，视频数据的激进传输会导致整体网络效率的降低。在本文中，我们提出了一种基于移动边缘计算（MEC-）的 CCN 的自适应视频传输机制。MEC 服务器的计算和存储资源用于促进视频传输。我们的机制采用可伸缩的视频编码方案来自适应地控制传输速率以应对网络条件的变化。为了分析所提出机制的平衡特性，通过使用网络效用函数和凸规划推导出分析模型。我们还考虑了有线和无线链路中的数据包丢失，并提出了 MEC 辅助丢失恢复算法。实验结果证明了我们提出的机制的性能改进。