Poster: A Dynamic Task Scheduling using Multi-Platoon Architecture in Vehicular Networks

• Published in: Proceedings of the International Conference on Distributed Computing Systems pp. 1284 - 1285
• Main Authors: Xiao, Tingting, Chen, Chen, Pei, Qingqi, Wan, Shaohua
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2022
• Subjects: ask Scheduling; Benchmark testing; Computer architecture; Dynamic scheduling; Energy consumption; Heuristic algorithms; Platooning; Scheduling algorithms; Task analysis; Vehicular Networks
• ISSN: 2575-8411
• DOI: 10.1109/ICDCS54860.2022.00135

The autonomous vehicle platoon has the potential to cope with the stress caused by the resource-constrained vehicles' demand for processing power and the spread-out deployment of MEC-BS. In this poster, we focus on a multi-platoons scenario for task scheduling. Our objective is to minimize the overall energy consumption subject to the long-term latency constraint. To characterize stochastic properties and deal with coupling between variables, we propose a dynamic task scheduling algorithm based on Lyapunov optimization (LDTS). We theoretically and empirically evaluate the performance of the proposed algorithm, which is illustrated to be significantly better than state-of-the-art and other benchmark approaches in terms of execution latency and energy consumption.