Tong Liu, PhD

Tong Liu received her B.Eng degree and PhD degree in the Department of Computer Science and Engineering at the Shanghai Jiao Tong University, Shanghai, China, in 2012 and 2017 respectively. Now, she is an assistant professor in the School of Computer Engineering and Science at the Shanghai University. Her research interests include mobile crowdsensing, edge computing and urban computing.

Abstract

A Deep Reinforcement Learning Approach for Online Computation Offloading in Mobile Edge Computing

With the explosion of mobile smart devices, many computation intensive applications have emerged. Mobile edge computing is put forward, as an extension of cloud computing, to meet the low-latency requirements of the applications. Considering heterogeneous computation tasks are successively generated on a mobile smart device, we propose an online task offloading and resource scheduling strategy, aiming to minimize both task completion latency and energy consumption in a long-term. Inspired by reinforcement learning, we firstly transform the problem into a Markov decision process, and then propose an online approach based on a double deep Q network.