Live streaming services have gained extreme popularity in recent years. Due to the spiky traffic patterns of live videos, utilizing distributed edge servers to improve viewers’ quality of experience (QoE) has become a common practice nowadays. Nevertheless, the current client-driven content caching mechanism does not support pre-caching from the cloud to the edge, resulting in a considerable amount of cache misses in live video delivery. By jointly considering the features of live videos and edge servers, we propose PLVER , a proactive live video push scheme to address the cache miss problem in live video delivery. Specifically, PLVER first conducts a one-to-multiple stable allocation between edge clusters and user groups to balance the load of live traffic over the edge servers. It then adopts proactive video replication algorithms to speed up video replication among the edge servers. We conduct extensive trace-driven evaluation, covering 0.3 million Twitch viewers and more than 300 Twitch channels. The results demonstrate that with PLVER , edge servers can carry 28 and 82 percent more traffic than the auction-based replication (ABR) method and the caching on requested time (CORT) method, respectively.

中文翻译：

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PLVER：边缘辅助实时视频传输的联合稳定分配和内容复制

近年来，实时流媒体服务非常受欢迎。由于直播视频的流量模式激增，利用分布式边缘服务器来提高观众的体验质量 (QoE) 已成为当今的普遍做法。然而，当前客户端驱动的内容缓存机制不支持从云端到边缘的预缓存，导致视频直播传输中出现大量缓存未命中。通过联合考虑直播视频和边缘服务器的特点，我们提出PLVER ，一种主动式实时视频推送方案，用于解决实时视频传输中的缓存未命中问题。具体来说，PLVER 首先在边缘集群和用户组之间进行一对多的稳定分配，以平衡边缘服务器上的实时流量负载。然后它采用主动视频复制算法来加速边缘服务器之间的视频复制。我们进行了广泛的跟踪驱动评估，覆盖了 30 万 Twitch 观众和 300 多个 Twitch 频道。结果表明，随着PLVER，边缘服务器可以分别比基于拍卖的复制 (ABR) 方法和请求时间缓存 (CORT) 方法多承载 28% 和 82% 的流量。