ACO使能的边缘计算系统服务部署和计算任务卸载方法  

ACO-enabled Service Deployment and Computation Task Offloading for Edge Computing System

作　　者：邓福康 许英豪 张建山 陈星[1,4] DENG Fukang;XU Yinghao;ZHANG Jianshan;CHEN Xing(College of Computer and Data Science,Fuzhou University,Fuzhou 350116,China;Maynooth University International Engineering College,Fuzhou University,Fuzhou 350116,China;College of Computer and Control Engineering,Minjiang University,Fuzhou 350108,China;Fujian Key Laboratory of Network Computing and Intelligent Information Processing(Fuzhou University),Fuzhou 350116,China)

机构地区：[1]福州大学计算机与大数据学院,福州350116 [2]福州大学梅努斯国际工程学院,福州350116 [3]闽江学院计算机与控制工程学院,福州350108 [4]福建省网络计算与智能信息处理重点实验室(福州大学),福州350116

出　　处：《小型微型计算机系统》2025年第2期314-320,共7页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(62072108)资助;福厦泉国家自主创新示范区协同创新平台项目(2022FX5)资助;福建省科技经济融合服务平台项目(2023XRH001)资助。

摘　　要：随着物联网和5G的不断发展,用户对流畅体验感的需求日益迫切,对于数据传输速率、响应延迟和服务质量的要求不断提高.边缘计算范式能够使服务器更加接近用户和设备,更快地响应数据请求,提高网络的效率和可扩展性,从而提供更好的用户体验.在此基础上了,本文提出了一种多边缘计算服务器协同提供计算服务的网络系统模型,并定义了服务部署和计算任务卸载联合优化问题.针对该问题,提出了一种基于蚁群优化算法(Ant Colony Optimization,ACO)的服务部署和计算任务卸载联合优化问题解决策略.实验结果表明,相较于基准策略,所提出的策略能够显著降低任务完成时延和能耗,并有效提高网络的效率和可扩展性.With the continuous development of Internet-of-Things(IoT)and 5G,user requirements for data rate,response latency,and quality of service continue to increase.The edge computing paradigm enables servers to be closer to users and devices,respond faster to data requests,and improve the efficiency and scalability of the network,thus providing a better user experience.Based on this premise,we propose a multiple edge servers cooperative network system model and formulate the joint optimization problem for service deployment and computation task offloading.To solve the above problem,we propose an ant colony optimization(ACO)algorithm-based service deployment and computational task offloading strategy.Numerical results show that the proposed strategy can significantly reduce the task completion delay and energy consumption and effectively improve the efficiency and scalability of the network compared to the benchmark strategy.

关 键 词：边缘计算 服务部署 任务卸载 蚁群优化算法 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]