Research Article
Edge Cache Resource Allocation Strategy with Incentive Mechanism
@INPROCEEDINGS{10.1007/978-3-030-89814-4_17, author={Shengli Zhang and Xiaoguang Xu and Jiaxin Wei and Guangxu Zhou and Yue Guo and Junfeng Hou and Zhunfeng Li}, title={Edge Cache Resource Allocation Strategy with Incentive Mechanism}, proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings}, proceedings_a={MOBIMEDIA}, year={2021}, month={11}, keywords={Mobile social network Edge computing Incentive mechanism Cache allocation}, doi={10.1007/978-3-030-89814-4_17} }- Shengli Zhang
Xiaoguang Xu
Jiaxin Wei
Guangxu Zhou
Yue Guo
Junfeng Hou
Zhunfeng Li
Year: 2021
Edge Cache Resource Allocation Strategy with Incentive Mechanism
MOBIMEDIA
Springer
DOI: 10.1007/978-3-030-89814-4_17
Abstract
Edge computing technology can effectively alleviate the problems of network congestion and poor user experience quality in current mobile social networks. In this paper, an edge cache resource allocation strategy for mobile social networks based on incentive mechanism is presented. The incentive cache model is modeled as a Stackelberg game, and the utility functions of the macro base station and the social interest group are constructed respectively. The optimal unit cache resource price strategy for the macro base station and the optimal cache resource demand strategy for the social interest groups are obtained by using distributed iterative algorithm. The results show that the proposed mechanism has lower average content transmission delay and higher user experience quality.
