The emergence of smart edge-network content item hotspots, which are equipped with huge storage space （e.g., several GBs）, opens up the opportunity to study the possibility of delivering videos at the edge network. ...The emergence of smart edge-network content item hotspots, which are equipped with huge storage space （e.g., several GBs）, opens up the opportunity to study the possibility of delivering videos at the edge network. Different from both the conventional content item delivery network （CDN） and the peer-to-peer （P2P） scheme, this new delivery paradigm, namely edge video CDN, requires up to millions of edge hotspots located at users＇ homes/offices to be coordinately managed to serve mobile video content item. Specifically, two challenges are involved in building edge video CDN, including how edge content item hotspots should be organized to serve users, and how content items should be replicated to them at different locations to serve users. To address these challenges, we propose our data-driven design as follows. First, we formulate an edge region partition problem to jointly maximize the quality experienced by users and minimize the replication cost, which is NP-hard in nature, and we design a Voronoi-like partition algorithm to generate optimal service cells. Second, to replicate content items to edge-network content item hotspots, we propose an edge request prediction based replication strategy, which carries out the replication in a server peak offioading manner. We implement our design and use trace-driven experiments to verify its effectiveness. Compared with conventional centralized CDN and popularity-based replication, our design can significantly improve users＇ quality of experience, in terms of users＇ perceived bandwidth and latency, up to 40%.展开更多
随着互联网的快速发展,网络的使用逐渐转变为以内容分发和获取为主,面向大规模用户的流媒体视频点播直播已经成为当今互联网上最流行的应用之一,占到了网络流量的很大一部分,如何有效地进行流媒体视频内容的大规模分发已经成为网络运营...随着互联网的快速发展,网络的使用逐渐转变为以内容分发和获取为主,面向大规模用户的流媒体视频点播直播已经成为当今互联网上最流行的应用之一,占到了网络流量的很大一部分,如何有效地进行流媒体视频内容的大规模分发已经成为网络运营商和内容提供商面临的一个挑战。内容中心网络(Content-Centric Networking,CCN)是一种新型的以内容为中心的网络架构,引入路由缓存和请求聚合机制以优化互联网的内容分发。传统TCP/IP网络中的内容分发网(Content Distribution Network,CDN)技术为视频分发提供了有效的途径,在提高用户体验的同时减少了网络流量。CDN将内容从源服务器推动到边缘镜像服务器供用户使用的思想和CCN在路径上缓存的思想如出一辙,如果在CCN上使用CDN技术进行视频分发,可以获得更好的效果。但是CCN的通信模式被设计成接收方驱动的方式,只有用户向网络发出请求时网络上才会有流向用户的数据,如何在CCN上把内容推送到CDN镜像服务器是一个必须解决的问题。本文利用种子在CCN上实现了基于CDN的流媒体视频内容分发技术。展开更多
基金This work was supported by the National Basic Research 973 Program of China under Grant No. 2015CB352300, the National Natural Science Foundation of China under Grant Nos. 61402247, 61272231, and 61133008, and the Beijing Key Laboratory of Net- worked Multimedia.
文摘The emergence of smart edge-network content item hotspots, which are equipped with huge storage space （e.g., several GBs）, opens up the opportunity to study the possibility of delivering videos at the edge network. Different from both the conventional content item delivery network （CDN） and the peer-to-peer （P2P） scheme, this new delivery paradigm, namely edge video CDN, requires up to millions of edge hotspots located at users＇ homes/offices to be coordinately managed to serve mobile video content item. Specifically, two challenges are involved in building edge video CDN, including how edge content item hotspots should be organized to serve users, and how content items should be replicated to them at different locations to serve users. To address these challenges, we propose our data-driven design as follows. First, we formulate an edge region partition problem to jointly maximize the quality experienced by users and minimize the replication cost, which is NP-hard in nature, and we design a Voronoi-like partition algorithm to generate optimal service cells. Second, to replicate content items to edge-network content item hotspots, we propose an edge request prediction based replication strategy, which carries out the replication in a server peak offioading manner. We implement our design and use trace-driven experiments to verify its effectiveness. Compared with conventional centralized CDN and popularity-based replication, our design can significantly improve users＇ quality of experience, in terms of users＇ perceived bandwidth and latency, up to 40%.
文摘随着互联网的快速发展,网络的使用逐渐转变为以内容分发和获取为主,面向大规模用户的流媒体视频点播直播已经成为当今互联网上最流行的应用之一,占到了网络流量的很大一部分,如何有效地进行流媒体视频内容的大规模分发已经成为网络运营商和内容提供商面临的一个挑战。内容中心网络(Content-Centric Networking,CCN)是一种新型的以内容为中心的网络架构,引入路由缓存和请求聚合机制以优化互联网的内容分发。传统TCP/IP网络中的内容分发网(Content Distribution Network,CDN)技术为视频分发提供了有效的途径,在提高用户体验的同时减少了网络流量。CDN将内容从源服务器推动到边缘镜像服务器供用户使用的思想和CCN在路径上缓存的思想如出一辙,如果在CCN上使用CDN技术进行视频分发,可以获得更好的效果。但是CCN的通信模式被设计成接收方驱动的方式,只有用户向网络发出请求时网络上才会有流向用户的数据,如何在CCN上把内容推送到CDN镜像服务器是一个必须解决的问题。本文利用种子在CCN上实现了基于CDN的流媒体视频内容分发技术。
