Recent years have witnessed a dramatic increase of user-generated video services. In such user-generated video services, crowdsourced live streaming (e.g., Periscope, Twitch) has significantly challenged today's edge network infrastructure: today's edge networks (e.g., 4G, Wi-Fi) have limited uplink capacity support, making high-bitrate live streaming over such links fundamentally impossible. In this paper, we propose to let broadcasters (i.e., users who generate the video) upload crowdsourced video streams using aggregated network resources from multiple edge networks. There are several challenges in the proposal: First, how to design a framework that aggregates bandwidth from multiple edge networks? Second, how to make this framework transparent to today's crowdsourced live streaming services? Third, how to maximize the streaming quality for the whole system? We design a multi-objective and deployable bandwidth aggregation system BASS to address these challenges: (1) We propose an aggregation framework transparent to today's crowdsourced live streaming services, using an edge proxy box and aggregation cloud paradigm; (2) We dynamically allocate geo-distributed cloud aggregation servers to enable MPTCP (i.e., multi-path TCP), according to location and network characteristics of both broadcasters and the original streaming servers; (3) We maximize the overall performance gain for the whole system, by matching streams with the best aggregation paths.

翻译：近年来,用户生成的视频服务急剧增加。在这种用户生成的视频服务中,众源实况流(例如 Periscope、Twitch)对当今边缘网络基础设施提出了重大挑战:今天的边缘网络(例如 4G、 Wi-Fi)的上行能力支持有限,使高位实况流流在这种链接上根本不可能实现。在本文中,我们建议让广播机构(即制作视频的用户)利用来自多个边缘网络的综合网络资源上传众源视频流。提案中存在若干挑战:首先,如何设计一个框架,将多个边缘网络的带宽聚合起来?第二,如何使这一框架透明到今天的众源流服务?第三,如何使整个系统的流质量最大化?我们设计一个多目标和可部署的带宽集带宽汇总系统,以应对这些挑战:(1) 我们提议一个最透明的组合框架,通过一个边缘的代理箱和集云模式,将今天的现场流与云流连接成;(2) 我们动态分配地理分布式的云流和多层服务器的运行模式,使MPT的服务器得以运行。