Muslin: A QoE‐aware CDN resources provisioning and advertising system for cost‐efficient multisource live streaming,International Journal of Network Management

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Muslin: A QoE‐aware CDN resources provisioning and advertising system for cost‐efficient multisource live streaming
International Journal of Network Management ( IF 1.5 ) Pub Date : 2019-11-28 , DOI: 10.1002/nem.2081
Simon Da Silva ₁ , Joachim Bruneau‐Queyreix ₁ , Mathias Lacaud _{1,

2} , Daniel Negru ₁ , Laurent Réveillère ₁

Affiliation

Delivering video content with a high and fairly shared quality of experience is a challenging task in view of the drastic video traffic increase forecasts, as live video traffic will grow 15‐fold by 2022. Currently, content delivery networks provide numerous servers hosting replicas of the video content, and consuming clients are redirected to the closest server. Then, the video content is streamed using adaptive streaming solutions. However, servers and network links often become overloaded during major events, and users may experience a poor or unfairly distributed quality of experience, unless more servers are provisioned. In this paper, we propose Muslin, a streaming solution supporting a high, fairly shared end users' quality of experience for live streaming, while minimizing the required content delivery platform scale. Muslin leverages on MS‐Stream, a content delivery solution, which aggregates video content from multiple servers to offer a high quality of experience for its users. Muslin dynamically provisions servers and replicates content into servers and advertises servers to clients based on real‐time delivery conditions. We have used Muslin to replay a 1‐day video‐games event, with hundreds of clients and several test beds. Our results show that our approach outperforms traditional content delivery schemes by increasing the fairness and quality of experience at the user side with a smaller infrastructure scale.

中文翻译：

Muslin：QoE感知的CDN资源配置和广告系统，用于经济高效的多源实时流

鉴于急剧的视频流量增长预测，交付实时，高质量的视频内容是一项具有挑战性的任务，因为实时视频流量到2022年将增长15倍。目前，内容交付网络提供了许多托管该服务器副本的服务器。视频内容和使用中的客户端将重定向到最近的服务器。然后，使用自适应流解决方案对视频内容进行流处理。但是，在重大事件期间，服务器和网络链接通常会变得超负荷，并且除非配置了更多服务器，否则用户的体验质量可能会很差或不公平。在本文中，我们提出了Muslin，这是一种流媒体解决方案，可为最终流媒体提供高公平共享的最终用户体验质量，同时最大程度地减少了所需的内容交付平台规模。Muslin充分利用了内容交付解决方案MS-Stream，该解决方案聚合了来自多台服务器的视频内容，从而为其用户提供了高质量的体验。Muslin根据实时交付条件动态地配置服务器，并将内容复制到服务器中，并将服务器通告给客户端。我们用过平纹细布重播为期1天的视频游戏活动，有数百名客户和数张测试床。我们的结果表明，通过以较小的基础结构规模提高用户端体验的公平性和质量，我们的方法优于传统的内容交付方案。

更新日期：2019-11-28

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