Edge computing for content delivery networks

边缘计算使数据能够在网络的边缘进行处理。它包含3个主要概念：云、多访问边缘计算（MEC）和雾计算。Cloudlets是资源丰富的服务器或服务器集群，位于移动设备的单跳附近。MEC在网络边缘提供云计算功能，重点是移动网络。雾计算是云从核心网络向边缘网络的延伸。边缘计算有两个主要的好处：减少延迟和提供新的服务和应用程序。内容交付网络（cdn）由分布在多个位置的一组Web服务器组成，这些服务器可以透明、有效地将内容交付给具有所需体验质量（QoE）的最终用户。它们传统上是由静态Web技术提供的，但现在越来越多地由云计算等现代技术提供。然而，延迟仍然是一个关键的障碍，引入新的服务和应用程序（特别是那些只依赖于边缘可用信息的服务和应用程序）仍然是一项艰巨的任务。该项目旨在为CDN世界带来边缘计算的好处。我们将提出并验证架构和算法，这些架构和算法将使延迟减少并易于在cdn中引入新服务和应用程序。

Edge computing enables data processing at the edge of the network. It encompasses 3 main concepts: cloudlets, multi-access edge computing (MEC), and fog computing. Cloudlets are resource rich-servers or clusters of servers located in single hop proximity of mobile devices. MEC provides cloud computing capabilities at the edges of networks with a focus on mobile networks. Fog computing is an extension of the cloud from the core to the edge of networks. Two key benefits are expected from edge computing: latency reduction and provisioning of new services and applications. Content Delivery Networks (CDNs) consist of a collection of Web servers distributed over multiple locations to transparently and effectively deliver rcontent to end-users with the required Quality of Experience (QoE). They were traditionally provisioned with static Web technologies but are now more and more often provisioned with modern technologies such as cloud computing. However latency still remains a key roadblock and the introduction of new services and applications (especially the ones which rely on information available solely at the edge) is still an uphill task. This project aims at bringing the benefits of edge computing to the CDN world. We will propose and validate architectures and algorithms which will enable latency reduction and easy introduction of new services and applications in CDNs.