A risk-sensitive task offloading strategy for edge computing in industrial Internet of Things

EURASIP Journal on Wireless Communications and Networking, vol. 2021

Abstract

Abstract Edge computing has become one of the key enablers for ultra-reliable and low-latency communications in the industrial Internet of Things in the fifth generation communication systems and is also a promising technology in the future sixth generation communication systems. In this work, we consider the application of edge computing to smart factories for mission critical task offloading through wireless links. In such scenarios, although high end-to-end delays from the generation to completion of tasks happen with low probability, they may incur severe casualties and property loss and should be seriously treated. Inspired by the risk management theory widely used in finance, we adopt the Conditional Value at Risk to capture the tail of the delay distribution. An upper bound of the Conditional Value at Risk is derived through analysis of the queues both at the devices and the edge computing servers. We aim to find out the optimal offloading policy taking into consideration both the average and the worst-case delay performance of the system. Given that the formulated optimization problem is a non-convex mixed integer nonlinear programming problem, a decomposition into subproblems is performed and a two-stage heuristic algorithm is proposed. The simulation results validate our analysis and indicate that the proposed algorithm can reduce the risk in both the queueing and end-to-end delay.

Authors 6

1. Xiaoyu Hao

   Fudan University

   Affiliation as printed

   Department of Electronics Engineering, Fudan University, Shanghai, 200433, China

2. Ruohai Zhao

   Fudan University

   Affiliation as printed

   Department of Electronics Engineering, Fudan University, Shanghai, 200433, China

3. Tao Yang corresponding

   Fudan University

   Affiliation as printed

   Department of Electronics Engineering, Fudan University, Shanghai, 200433, China

4. Yulin Hu Aachen ISEK Research Group

   RWTH Aachen University

   Affiliation as printed

   ISEK Research Group, RWTH Aachen University, Aachen, Germany

5. Bo Hu corresponding

   Fudan University

   Affiliation as printed

   Department of Electronics Engineering, Fudan University, Shanghai, 200433, China

   Key Laboratory of EMW Information (MoE), Fudan University, Shanghai, 200433, China

6. Yuhe Qiu

   China Mobile (China)

   Affiliation as printed

   China Mobile (Chengdu), Information and Telecommunication Technology Co., Ltd., Chengdu, China