Distributed V2V Computing Offloading Method Based on Delay and Fairness Awareness

• Published in: 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) pp. 861 - 867
• Main Authors: Yang, Guoliang, Xiong, Mengqi, Feng, Guangsheng, Liu, Yuzheng, Huang, Yun
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2021
• Subjects: delay tolerance; Delays; fairness; Linear programming; Lyapunov optimization; Mobile computing offloading; Quality of experience; Real-time systems; Topology; Transforms; vehicle-to-vehicle communication; Vehicular ad hoc networks
• DOI: 10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00122

The roadside Basic unit (RSU) can relieve the heavy computing and analysis pressure required by vehicles'computing tasks. Due to the mobility of vehicles and limited computing resources, it is difficult to deal extensive vehicle tasks in time. Therefore, we consider the computation task offloading problem between the vehicles, as well as the dynamic topology caused by the vehicle movement and the randomness of task arrival, and propose an online offloading method based on fairness awareness, which can be ensured tolerable delays and the requirement of the quality of experience (QoE) between vehicles by introducing delay-aware and price-constrained virtual queues. By Lyapunov optimization technology, the objective function is transformed into a drift-plus-penalty profit minimum bound problem, achieveing all the offloading decisions by the realtime resource requirements and topology state. Finally, extensive simulations are performed to demonstrate the efficiency of the proposed algorithm.