学术报告:Energy-Efficient Resource Allocation for Multi-User Mobile Edge Computing

题目Energy-Efficient Resource Allocation for Multi-User Mobile Edge Computing

主讲:崔 教授、青年千人,上海交通大学

日期:2017年1228日(周四)

时间:上午09:30am - 11:00am

地点:超算中心5楼507

主持:陈旭 教授

 

摘要:

Designing energy-efficient mobile edge computing (MEC) systems by jointly optimizing communication, caching and computation resources can help increase mobile batteries’ lifetime and improve quality of experience for computation-intensive and latency-sensitive applications. In this talk, I will present our two recent papers on energy-efficient resource allocation for mobile edge computing systems with one base station (BS) equipped with MEC servers and multiple users with negligible computing capability.

报告人简介:

Ying Cui received her B.E. degree in Electronic and Information Engineering from Xi’an Jiao Tong University, China, in 2007 and her Ph.D. degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology (HKUST), Hong Kong, in 2011. From January 2011 to July 2011, she was a Visiting Assistant in Research in the Department of Electrical Engineering at Yale University, US. From March 2012 to June 2012, she was a Visiting Scholar in the Department of Electronic Engineering at Macquarie University, Australia. From June 2012 to June 2013, she was a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering at Northeastern University, US. From July 2013 to December 2014, she was a Postdoctoral Research Associate in the Department of Electrical Engineering and Computer Science at Massachusetts Institute of Technology (MIT), US. Since January 2015, she has been an Associate Professor in the Department of Electronic Engineering at Shanghai Jiao Tong University, China. Her current research interests include cache-enabled wireless networks, future Internet architecture, delay-sensitive cross-layer control and network coding. She was selected into China’s 1000Plan Program for Young Talents in 2013. She received the Best Paper Award at IEEE ICC, London, UK, June 2015.