Low-latency edge cooperation caching based on base station cooperation in SDN based MEC

被引:44
作者
Li, Chunlin [1 ,2 ,3 ]
Cai Qianqian [1 ]
Luo, Youlong [1 ]
机构
[1] Wuhan Univ Technol, Dept Comp Sci, Wuhan 430063, Peoples R China
[2] Wuhan Univ Sci & Technol, Hubei Prov Key Lab Syst Sci Met Proc, Wuhan 430081, Peoples R China
[3] Wuhan Univ Technol, Chongqing Res Inst, Chongqing, Peoples R China
基金
中国国家自然科学基金;
关键词
Deep Q learning; Mobile Edge computing; SDN; Edge caching; Service migration; MOBILE; OPTIMIZATION; MIGRATION;
D O I
10.1016/j.eswa.2021.116252
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the increase of mobile terminal equipment and network mass data, users have higher requirements for delay and service quality. To reduce user access latency and more effectively cache diverse content in the edge network, a low-latency edge caching method is proposed. The cache model based on base station cooperation is established and the delay in different transmission modes is considered. Finally, the problem of minimizing latency is transformed into a problem of maximizing cache reward, and a greedy algorithm based on the original dual interior point is used to obtain the strategy of the original problem. Meanwhile, in order to improve service quality and balance communication overhead and migration overhead, a migration method based on balanced communication overhead and migration overhead is proposed. The model that balances communication overhead and migration overhead is established, and the reinforcement learning method is used to obtain a migration scheme that maximizes accumulated revenue. Comparison results show that our caching method can enhance the cache reward and reduce delay. Meanwhile, the migration algorithm can increase service migration revenue and reduce communication overhead.
引用
收藏
页数:14
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