Computation Offloading and Task Scheduling on the Network Edge

Xuemin (Sherman) Shen, University Professor, Fellow of RSC, CAE, EIC, IEEE, Foreign Academian of Chinese Academy of Engineering
Department of Electrical and Computer Engineering, University of Waterloo

Xuemin (Sherman) Shen received the Ph.D. degree in electrical engineering from Rutgers University, New Brunswick, NJ, USA, in 1990. He is a University Professor with the Department of Electrical and Computer Engineering, University of Waterloo, Canada. His research focuses on network resource management, wireless network security, Internet of Things, 5G and beyond, and vehicular ad hoc and sensor networks. Dr Shen is a registered Professional Engineer of Ontario, Canada, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, a Chinese Academy of Engineering Foreign Member, and a Distinguished Lecturer of the IEEE Vehicular Technology Society and Communications Society.

Dr. Shen received the R.A. Fessenden Award in 2019 from IEEE, Canada, Award of Merit from the Federation of Chinese Canadian Professionals (Ontario) in 2019, James Evans Avant Garde Award in 2018 from the IEEE Vehicular Technology Society, Joseph LoCicero Award in 2015 and Education Award in 2017 from the IEEE Communications Society, and Technical Recognition Award from Wireless Communications Technical Committee (2019) and AHSN Technical Committee (2013). He has also received the Excellent Graduate Supervision Award in 2006 from the University of Waterloo and the Premier’s Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada. He served as the Technical Program Committee Chair/Co-Chair for IEEE Globecom’16, IEEE Infocom’14, IEEE VTC’10 Fall, IEEE Globecom’07, and the Chair for the IEEE Communications Society Technical Committee on Wireless Communications. Dr. Shen is the President of the IEEE Communications Society. He was the Vice President for Technical & Educational Activities, Vice President for Publications, Member-at-Large on the Board of Governors, Chair of the Distinguished Lecturer Selection Committee, and Member of IEEE Fellow Selection Committee of the ComSoc. Dr. Shen served as the Editor-in-Chief of the IEEE IoT JOURNAL, IEEE Network, and IET Communications.

Abstract: Next-generation wireless networks are anticipated to provide connectivity for massive mobile devices and to enable a variety of innovative applications, which also generate enormous computing service demands with diverse and stringent Quality of Service (QoS) requirements. Mobile Edge Computing (MEC), as cutting-edge technology in next-generation networks, can utilize computing resources on the network edge to provide computing services for mobile devices within a radio access network. In this talk, we will investigate computing resource management for MEC, We will introduce two computation offloading and task scheduling schemes tailored for supporting representative use cases and network scenarios in next-generation wireless networks, including the Internet of Vehicles and mobile virtual reality video streaming. Data-model-driven resource management approaches will be exploited to facilitate low-latency and reliable computing services in complex and dynamic network environments.

下一代无线网络将为大量移动设备提供连接，并实现各种创新应用。同时网络内部会产生巨大的计算服务需求，并且这些计算服务具有多样化和严格的服务质量（QoS）要求。为了支持这些新兴的计算需求，移动边缘计算（MEC）作为下一代网络的尖端技术，利用网络边缘的计算资源，实现在无线接入网络内为移动设备提供低延迟的计算服务。在本次演讲中，我们将探讨MEC的计算资源管理，以满足网络中多样的计算需求。我们将介绍两种计算卸载和任务调度方案，分别针对两种下一代无线网络中的代表性用例和网络场景：车联网和移动虚拟现实视频流。在这两种方案中，我们探索了数据模型双驱动的资源管理方法，在复杂和动态的无线网络环境中实现低延迟和可靠的计算服务。