重庆邮电大学学报（自然科学版）2024，Vol.36Issue(4)：836-846,11.DOI:10.3979/j.issn.1673-825X.202404260104
不确定网络环境中任务卸载和资源分配联合优化方法
Joint optimization method of task offloading and resource allocation under uncertain wireless network
摘要
Abstract
In an uncertain wireless network environment,the randomness of task arrival,user movement,and the time-var-ying nature of wireless channel states lead to uncertain network environment characteristics such as cloud queuing delay and device network connection time,which greatly affect the efficiency of computing offloading and network resource utilization.To address this issue,this paper establishes a dynamic task offloading and edge resource adaptive allocation model for com-puting and network coordination.A multi-stage stochastic programming optimization algorithm(SS-MSSP)for task offload-ing and joint resource allocation based on stochastic simulation was proposed with the goal of minimizing the total energy consumption of the system.The multi-stage stochastic programming theory was used to formulate multi-stage strategies,and the posteriori computing network resource allocation method was used to compensate for the impact of uncertain network en-vironments.Simulation results show that in an uncertain network environment,the SS-MSSP algorithm ensures the user's computing delay requirements while effectively reducing system energy consumption.关键词
移动边缘计算/不确定网络/任务卸载/资源分配/多阶段随机规划Key words
mobile edge computing/uncertain wireless network/task offloading/resource allocation/multistage stochastic programming分类
信息技术与安全科学引用本文复制引用
王昭,张承宇,左琳立,刘超超..不确定网络环境中任务卸载和资源分配联合优化方法[J].重庆邮电大学学报（自然科学版）,2024,36(4):836-846,11.基金项目
国家自然科学基金项目(62071077,62301099) （62071077,62301099）
中国博士后科学基金项目(2023MD734137) （2023MD734137）
重庆市自然科学基金创新发展联合基金项目(2022NSCQ-LZX0191)The National Natural Science Foundation of China(62071077,62301099) （2022NSCQ-LZX0191）
The China Postdoctoral Science Foun-dation(2023MD734137) （2023MD734137）
The Joint Fund Project of Natural Science Foundation of Chongqing for Innovation and Development(2022NSCQ-LZX0191) （2022NSCQ-LZX0191）
