主持单位：2018世界杯冠军预测& 网络身份安全实验室（WIS Lab）
报告题目：Network Slicing: How Much Resource to Ask and How to Measure the Performance
汪建平博士是香港城市大学计算机系副教授。加入香港城市大学之前，她曾在美国南佐治亚大学，密西西比大学担任助理教授。她的主要研究兴趣是云计算，面向服务的网络，无线传感网络，光网络及网络性能测量。她是IEEETransactions on Mobile Computing 以及Optical Switching and Networking 杂志的编辑。她的研究获得美国自然科学基金，中国自然科学基金，香港研究局，香港创新科技局，谷歌，华为及美国Xinova公司资助。
Dr. Jianping Wang is an associate Professor in the department of Computer Science at City University of Hong Kong. Prior to joining City University of Hong Kong, she was an assistant professor at University of Mississippi and Georgia Southern University. Her main research interests are cloud computing, service oriented networking, wireless sensor networks, optical networking, and network performance measurements. She is an associate editor of IEEE Transactions on Mobile Computing and an associate editor of Optical Switching and Networking. Her research has been sponsored by US NSF, NSFC, Hong Kong Research Grant Council, Hong Kong Innovation Technology Council, Google, Huawei, and Xinova (US).
In today's telecommunication industry, a grand challenge faced by many network service providers (NSPs) is how to cost-effectively allocate resources so as to agilely accommodate a variety of applications and services with diverse quality-of-service (QoS) requirements. To address this challenge, a promising technology is network slicing, with which tenants, can create different network slices with desired performance guarantees on the same network infrastructure. In the past three years, network slicing has attracted significant attention from academia and industry. However, most existing studies have focused on how to dynamically partition a physical network infrastructure into many network slices, and thus assumed that each tenant knows the right amount of resources which is necessary to accommodate certain traffic load with performance guarantees. This assumption causes a gap between tenants and NSPs, which compromises the adoption of network slicing. In this talk, we first introduce how to model the relationship among traffic load, resource, and performance. With this model, given the traffic load and desired performance, we can derive the amount of resource to be provisioned. We then introduce a network tomography based approach to infer a set of interested paths with the minimum number of monitors.