计算机应用与软件2024，Vol.41Issue(8)：108-115,148,9.DOI:10.3969/j.issn.1000-386x.2024.08.015
一种用户聚集场景下的层级计算卸载策略
A HIERARCHICAL COMPUTING OFFLOADING STRATEGY FOR USER AGGREGATION SCENARIOS
摘要
Abstract
Existing edge computing researches focus on wireless resource allocation and computational resource allocation.However,the research on cooperative computing in user aggregation scenarios is ignored.Aiming at this problem,this paper proposes a hierarchical computation offloading strategy for user aggregation scenarios.The strategy adopted FSA-MCS to solve the problem of offloading node selection for user terminals under multiple base station signal coverage,and designed a heuristic regional computational offloading algorithm with a hierarchical structure,which was able to effectively increase the number of tasks completed within a limited time under user aggregation scenarios and reduce the total user offloading delay.The experimental results show that compared with other offloading methods,this strategy increases the successful computation completion rate of user tasks within the limited time by up to 32.7 percentage points and reduces the total offloading delay by up to 43.3％.关键词
边缘计算/计算卸载/资源分配/协同计算/层级调度Key words
Edge computing/Computation offloading/Resource allocation/Collaborative computing/Hierarchical scheduling分类
信息技术与安全科学引用本文复制引用
陶聪,张红梅,张向利,钟楠..一种用户聚集场景下的层级计算卸载策略[J].计算机应用与软件,2024,41(8):108-115,148,9.基金项目
认知无线电与信息处理教育部重点实验室基金项目(CRKL200101) （CRKL200101）
广西无线宽带通信与信号处理重点实验室2020年主任基金项目(GXKL06200104) （GXKL06200104）
广西自然科学基金重点项目(2020GXNSFDA238001). （2020GXNSFDA238001）
