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Offloading in Mobile Edge Computing for Internet of Things
文章来源:[]  作者:[]  时间:[2019-10-22]  阅读: 次

题目:Offloading in Mobile Edge Computing for Internet of Things

报告人:Ning Zhang

照片:

邀请人:李雪莲 张乐友

报告时间:2019年10月23日16:30-17:30

报告地点:信远楼II205数统院报告厅

报告人简介:

Ning Zhang (M'15-SM'18) received the Ph.D degree from University of Waterloo, Canada, in 2015. After that, he was a postdoc research fellow at University of Waterloo and University of Toronto, Canada, respectively. Since 2017, he has been an Assistant Professor at Texas A&M University-Corpus Christi, USA. He serves as an Associate Editor of IEEE Internet of Things Journal, IEEE Transactions on Cognitive Communications and Networking, IEEE Access and IET Communications, and a Guest Editor of several international journals such as IEEE Wireless Communications. He also served as the workshop chair for MobiEdge'18 (in conjunction with IEEE WiMob 2018) and CoopEdge'18 (in conjunction with IEEE EDGE 2018), and 5G&NTN'19 (in conjunction with IEEE ICCC 2019). He received 6 Best Paper Awards from international conferences and journals, such as IEEE Globecom and IEEE ICC. His current research interests include wireless communication and networking, mobile edge computing, and physical layer security. He is a senior member of IEEE.

报告摘要:

物联网技术可以实现万物互联,实时数据采集和数据分析等,是很多智能服务的基础。针对物联网终端能力受限及大量物联网设备接入对造成的网络拥塞问题,在网络边缘部署运算及存储资源可以有效解决上述问题。在边缘计算环境下,终端设备的运算任务可以分流到边缘服务器进行处理并返回结果。在多终端多任务及网络动态的环境下,我们基于李雅普诺夫优化理论设计了一个高效的任务调度方案。该方案不依赖系统的统计信息,可以根据当前系统状态将运算任务合理分配到边缘服务器进行处理,可实现系统资源利用率的最大化并保证服务延迟。

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