郑州大学学报（理学版）2025，Vol.57Issue(5)：62-68,7.DOI:10.13705/j.issn.1671-6841.2023262
一种资源受限的时延与能耗优化卸载策略
A Delay and Energy Consumption Optimization Offloading Strategy with Limited Resources
摘要
Abstract
Offload decision-making was an important part of data processing.However,most studies ignored the delay and energy consumption generated by collaboration between edge servers when determi-ning offload decisions.An algorithm to minimize task processing costs was proposed,to achieve the goals of optimizing costs by minimizing the delay and energy consumption generated during task migration and determining the optimal offload ratio of sensed data between the cloud and the edge.Firstly,the optimiza-tion objective was transformed into a transportation problem with balanced production and sales,and the Vogel algorithm was used to solve the minimum delay and energy consumption of task processing at the edge.Secondly,combined with the delay and energy consumption of task processing in the cloud and the edge,the optimal offloading ratio was solved to minimize the costs of task processing.Finally,Matlab simulation experiments showed that the proposed algorithm reduces the task processing cost by about 18%to 25%compared with other algorithms.关键词
边缘计算/多点协作传输/vogel/任务卸载/迁移成本Key words
edge computing/multipoint cooperative transmission/vogel/task offloading/migration costs分类
信息技术与安全科学引用本文复制引用
武小丰,袁培燕..一种资源受限的时延与能耗优化卸载策略[J].郑州大学学报（理学版）,2025,57(5):62-68,7.基金项目
国家自然科学基金项目(62072159,U1804164) （62072159,U1804164）
