知识定义自主管控多域光网络
Knowledge-based Autonomic Networking in Multi-domain Optical Networks
陈小良   Xiaoliang Chen
报告人照片   Xiaoliang Chen received his Ph.D. degree from the University of Science and Technology of China in 2016. He is currently a research scientist at the University of California Davis. His research interests include optical networks and next-generation networks. He has published more than 50 papers in journals and conferences of IEEE and OSA. He is an Associate Editor of Springer's Telecommunication Systems Journal, Wiley’s Emerging Telecommunications Technologies, KSII Transactions on Internet and Information Systems, and a TPC member of IEEE ICNC 2018, 2019, and ICC 2018.
  Optimization of end-to-end service provisioning across multi-domain elastic optical networks (MD-EONs) is critically important due to the restricted intra-domain visibility and the agile spectrum allocation mechanism of EONs. This talk presents a knowledge-based autonomic service provisioning framework for MD-EONs. The framework employs a new broker plane working with domain managers (DMs) while supporting the autonomy of each domain. This can be seen as a hierarchical multi-domain network control and management architecture in support of enhanced resource efficiency and network scalability where each hierarchy employs an observe-analyze-act cycle. Specifically, the broker plane and DMs can observe the network state through comprehensive network monitoring (monitoring of optical paths' performance, resource utilizations and traffic dynamics), analyze the network behavior and form the knowledge repository of network rules using machine learning techniques, and act intelligently according to the obtained knowledge. This talk discusses two autonomic use cases, which show remarkable benefits of the framework over conventional solutions.
报告时间:2018年12月25日09时00分    报告地点:西区电三楼315会议室
报名截止日期:2018年12月25日    可选人数:60