Architectures and algorithms for next generation content delivery networks

传统的内容分发网络（cdn）是以静态方式提供的。这使得他们越来越难以承受未来几年快速而显著的内容增长（尤其是视频）。此外，它们的静态配置是实现弹性可伸缩性、高效资源使用、快速引入新服务和缺乏敏捷性的主要障碍。然而，由云计算和网络功能虚拟化（NFV）等新兴技术驱动的下一代cdn，这两种互补的技术可以潜在地应对这些挑战。云计算可以实现高效的资源使用、弹性可伸缩性和快速提供新服务。在这个研究项目中，我们建议调查和评估由云和NFV驱动的下一代cdn的架构和算法的性能。总体架构和算法需求将被导出并用于审查技术的状态。将提出并评估新的架构和算法。第一套架构和算法将侧重于基于云的下一代cdn。第二组将处理基于NFV的架构和算法，这将补充基于云的架构和算法，进一步增强下一代cdn和相关服务供应的敏捷性。

Traditional content delivery networks (CDNs) are provisioned in a static manner. This makes them less and less able to withstand the rapid and significant content growth (especially video) expected in the years to come. Furthermore their static provisioning is the main roadblock to elastic scalability, efficient resource usage, rapid introduction of new services, and lack of agility. However next generation CDNs powered by emerging technologies such as cloud computing and Network Functions Virtualization (NFV), two complementary technologies can potentially meet these challenges. Cloud computing can enable efficient resource usage, elastic scalability, and rapid provisioning of new services. In this research project we propose to investigate and evaluate the performance of architectures and algorithms for next generation CDNs powered by cloud and NFV. Overall architectural and algorithmic requirements will be derived and used to review the state of the art. Novel architectures and algorithms will be proposed and evaluated. The first set of architectures and algorithms will focus on cloud based - next generation CDNs. The second set will deal with the NFV based architectures and algorithms which will complement the cloud based-architectures and algorithms to further enhance agility in next generation CDNs and related services provisioning.