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MSs-MEC中基于DRL的服务缓存和任务迁移联合优化算法

黄恒杰 彭资馀 王高才

计算机应用研究2024,Vol.41Issue(7):2165-2172,8.
计算机应用研究2024,Vol.41Issue(7):2165-2172,8.DOI:10.19734/j.issn.1001-3695.2023.10.0538

MSs-MEC中基于DRL的服务缓存和任务迁移联合优化算法

DRL-based joint optimization algorithm for service caching and task migration in multi-services mobile edge computing

黄恒杰 1彭资馀 2王高才2

作者信息

  • 1. 玉林师范学院教育技术中心,广西玉林 537000
  • 2. 广西大学计算机与电子信息学院,南宁 530004
  • 折叠

摘要

Abstract

MSs-MEC can adaptively adjust service cache decisions according to needs,so that edge servers deploys on the user side can flexibly handle tasks of different service types.However,in practical applications,the successful migration of specific types of tasks depends on the early installation of the service environment.In addition,simultaneous task migration and service caching may result in time conflicts and computation delays.Therefore,in response to the above issues,this paper firstly decoupled task migration and service caching decisions.To address the shortcomings of DRL in high-dimensional mixed decision spaces,where performance improvement was not significant(such as low utilization rate during resource allocation),it combined DRL with Transformer to learn from historical data and output task migration decisions for the current time slot and the next time slot,ensuring that tasks could be executed immediately when they reached the edge server.Secondly,in order to improve resource utilization in resource allocation problems,it decomposed the problem into continuous resource allocation problems and discreted task migration and service caching problems,and used convex optimization technique to solve the opti-mal decision for resource allocation.Extensive numerical results indicate that the proposed algorithm can effectively reduce the average completion delay of tasks compared to other baseline algorithms,at the same time,it also has excellent performance in resource utilization and stability.

关键词

多服务移动边缘计算/凸优化/服务缓存/任务迁移/资源分配算法

Key words

MSs-MEC/convex optimization/service cache/task migration/resource allocation algorithm

分类

信息技术与安全科学

引用本文复制引用

黄恒杰,彭资馀,王高才..MSs-MEC中基于DRL的服务缓存和任务迁移联合优化算法[J].计算机应用研究,2024,41(7):2165-2172,8.

基金项目

国家自然科学基金资助项目(62062007) (62062007)

广西高校中青年教师科研基础能力提升项目(2020KY14020) (2020KY14020)

玉林师范学院高等教育本科教学改革工程项目(2022XJJGYB20) (2022XJJGYB20)

玉林师范学院科研项目(2019YJKY15) (2019YJKY15)

计算机应用研究

OA北大核心CSTPCD

1001-3695

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