Optical fibre networks underpin the digital communications infrastructure

下一个研究挑战是引入智能，使它们能够在需要的时间和地点动态地提供能力——改造下一代信息基础设施。云网络流量预计每两年翻一番以上，新服务需要非常低的延迟要求。研究将侧重于开发网络拓扑和架构设计的新方法，以适应应用需求：吞吐量、可扩展性、延迟和弹性。最优拓扑需要自适应，并根据应用对容量和延迟、传输通道的物理特性以及来自智能收发器的网络状态信息的需求进行定制。研究将探索波长路由和路由选择的启发式算法，并探索机器学习方法是否可以实现更优的拓扑结构。这项工作还将在TRANSNET虚拟实验室和实验网络场景的开发中包含实验元素，可用于演示某些理论概念。这项工作由微软研究院通过“云计算光学”研究联盟提供部分支持，该博士项目由伦敦大学学院光网络小组在该领域开展工作，重点关注与云计算光网络相关的不同挑战。该研究还与EPSRC TRANSNET（改造光网络——建立智能光基础设施）项目资助有关：http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/R035342/1。这项研究在EPSRC ICT主题范围内，涵盖人工智能，基础设施，光通信和数字信号处理。

The next research challenge is to introduce intelligence so that they able to dynamically provide capacity where and when it is needed - transforming next-generation information infrastructure. Cloud network traffic is expected to more than double every two years and new services require very low latency requirements. Research will focus on developing new approaches to the design of network topologies and architectures, tailored to application requirements: throughput, scalability, latency and resilience. Optimal topologies will need to be adaptive and be tailored to applications requirements on capacity and delay, physical properties of the transmission channels and the information from intelligent transceivers on network state. Research will explore heuristic algorithms for wavelength routing and route selection and explore if machine learning approaches can achieve more optimal topologies. The work will also have experimental element in the development of the TRANSNET Virtual Lab and experimental network scenarios which can be used to demonstrate soe of the theoretical concepts. This work is partially supported by Microsoft Research through the Research Alliance in 'Optics for the Cloud' and this PhD project is within UCL's Optical Networks Group to work in this area, focusing on different challenges relating to optical networking in the Cloud. The research is also associated with EPSRC TRANSNET (Transforming optical networks - building an intelligent optical infrastructure) programme grant: http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/R035342/1. This research is firmly within the EPSRC ICT Theme covering Artificial Intelligence, Infrastructure, Optical Communications and Digital Signal Processing.