题 目: Infrastructure-less edge computing in vehicular networks
报告人：刘志 博士，日本静冈大学 助理教授
Abstract: With the emergence of in-vehicle applications, providing the required computational capabilities is becoming a crucial problem. This paper proposes a framework named Autonomous Vehicular Edge (AVE) for edge computing on the road, with the aim of increasing the computational capabilities of vehicles in a decentralized manner. By managing the idle computational resources on vehicles and using them efficiently, the proposed AVE framework can provide computation services in dynamic vehicular environments without requiring particular infrastructures to be deployed.
Speaker Biography: Zhi Liu received the B.E., in computer science and technology from the University of Science and Technology of China, China, in 2009 and Ph.D. degree in informatics in National Institute of Informatics and The Graduate University for Advanced Studies (Sokendai) Tokyo, Japan. He is currently an Assistant Professor at Shizuoka University and an adjunct researcher at Waseda University, Japan. He was a Junior Researcher (Assistant Professor) at Waseda University from Dec. 2104 to Mar. 2017, and a JSPS research fellow in National Institute of Informatics and The Graduate University for Advanced Studies (Sokendai) from Apr. 2012 to Nov. 2014.
His research interest includes wireless networks and video transmission. He was the recipient of the IEEE StreamComm2011 best student paper award, VTC2014-Spring Young Researchers Encouragement Award and 2015 IEICE Young Researchers’ Award. He is and has been a Guest Editor of Wireless Communications and Mobile Computing, Sensors and IEICE Transactions on Information and Systems. He has been serving as the TPC-chair of 2017 IEEE Workshop on Game Theory in Computer Communications, The First International Workshop on Smart Multimedia (SmartMM2017), 2017 IEEE Workshop on Game Theory in Computer Communications. He is a member of IEEE and IEICE.