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

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...

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Bibliographic Details
Published inProceedings of the International Conference on Distributed Computing Systems pp. 1284 - 1285
Main Authors Xiao, Tingting, Chen, Chen, Pei, Qingqi, Wan, Shaohua
Format Conference Proceeding
LanguageEnglish
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
Online AccessGet full text
ISSN2575-8411
DOI10.1109/ICDCS54860.2022.00135

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Summary: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.
ISSN:2575-8411
DOI:10.1109/ICDCS54860.2022.00135