The live video streaming services have been suffered from the limited backhaul capacity of the cellular core network and occasional congestions due to the cloud-based architecture. Mobile Edge Computing (MEC) brings the services from the centralized cloud to nearby network edge to improve the Quality of Experience (QoE) of cloud services, such as live video streaming services. Nevertheless, the resource at edge devices is still limited and should be allocated economically efficiently. In this paper, we propose Edge Combinatorial Clock Auction (ECCA) and Combinatorial Clock Auction in Stream (CCAS), two auction frameworks to improve the QoE of live video streaming services in the Edge-enabled cellular system. The edge system is the auctioneer who decides the backhaul capacity and caching space allocation and streamers are the bidders who request for the backhaul capacity and caching space to improve the video quality their audiences can watch. There are two key subproblems: the caching space value evaluations and allocations. We show that both problems can be solved by the proposed dynamic programming algorithms. The truth-telling property is guaranteed in both ECCA and CCAS. The simulation results show that the overall system utility can be significantly improved through the proposed system.

中文翻译：

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在移动边缘计算中优化视频直播服务的社会福利

由于基于云的架构，实时视频流服务受到蜂窝核心网络回程容量有限和偶尔拥塞的影响。移动边缘计算 (MEC) 将服务从集中式云带到附近的网络边缘，以提高云服务的体验质量 (QoE)，例如实时视频流服务。尽管如此，边缘设备的资源仍然有限，应该经济有效地分配。在本文中，我们提出了边缘组合时钟拍卖 (ECCA) 和流中组合时钟拍卖 (CCAS)，这两个拍卖框架可以提高支持边缘的蜂窝系统中实时视频流服务的 QoE。边缘系统是决定回程容量和缓存空间分配的拍卖人，而流媒体是请求回程容量和缓存空间以提高观众可以观看的视频质量的投标人。有两个关键的子问题：缓存空间值的评估和分配。我们表明，这两个问题都可以通过所提出的动态规划算法解决。ECCA 和 CCAS 都保证了说真话的属性。仿真结果表明，通过所提出的系统可以显着提高整个系统的效用。我们表明，这两个问题都可以通过所提出的动态规划算法解决。ECCA 和 CCAS 都保证了说真话的属性。仿真结果表明，通过所提出的系统可以显着提高整个系统的效用。我们表明，这两个问题都可以通过所提出的动态规划算法解决。ECCA 和 CCAS 都保证了说真话的属性。仿真结果表明，通过所提出的系统可以显着提高整个系统的效用。