Research Article
Mobility-Aware Resource Allocation Based on Matching Theory in MEC
@INPROCEEDINGS{10.1007/978-3-030-97124-3_7, author={Bin Niu and Wei Liu and Yinghong Ma and Yue Han}, title={Mobility-Aware Resource Allocation Based on Matching Theory in MEC}, proceedings={Simulation Tools and Techniques. 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings}, proceedings_a={SIMUTOOLS}, year={2022}, month={3}, keywords={MEC Mobility Resource allocation Matching theory}, doi={10.1007/978-3-030-97124-3_7} }- Bin Niu
Wei Liu
Yinghong Ma
Yue Han
Year: 2022
Mobility-Aware Resource Allocation Based on Matching Theory in MEC
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-97124-3_7
Abstract
Mobile Edge Computing (MEC) is a technology that provides communication, computing, and storage resources at the edge of a mobile network to improve the Quality of service (Qos) for mobile users. However, the conflict between the mobility of the user and the limited coverage of the edge server may interrupt the ongoing service and cause a decrease in the quality of the service. In this context, we jointly formulate service migration and resource allocation in MEC by considering user mobility, service migration, communication and computing resources in the edge server to minimize the total service delay. Then we propose a matching algorithm that takes into account the selection preferences of users and Edge servers, and effectively solves the integer nonlinear programming problem we formulated. Finally, the simulation results prove the effectiveness of the proposed algorithm.
