A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things

Research Square

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 non-linear programming problem, a decomposition into sub-problems is performed and a two-stage heuristic algorithm is proposed. 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

   Fudan University

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

2. Ruohai Zhao

   Fudan University

   Affiliation as printed

   Fudan University

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

3. Tao Yang

   Fudan University

   Affiliation as printed

   Fudan University

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

4. Yulin Hu Aachen

   RWTH Aachen University · Fudan University

   Affiliation as printed

   RWTH: Rheinisch-Westfalische Technische Hochschule Aachen

   Bo Hu Fudan University Yuhe Qiu China Mobile (Chengdu) Information & Telecommunication Technology Co., Ltd

   Fudan University

5. Bo Hu

   Fudan University

   Affiliation as printed

   Fudan University

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

6. Yuhe Qiu Aachen

   RWTH Aachen University · Fudan University · China Mobile (China)

   Affiliation as printed

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

   Bo Hu Fudan University Yuhe Qiu China Mobile (Chengdu) Information & Telecommunication Technology Co., Ltd

   Fudan University

   RWTH: Rheinisch-Westfalische Technische Hochschule Aachen