计算机应用研究2024，Vol.41Issue(11)：3311-3316,6.DOI:10.19734/j.issn.1001-3695.2024.03.0095
智慧楼宇环境下基于数据压缩和改进灰狼算法的边缘计算卸载方法
Edge computing offloading method based on data compression and improved grey wolf optimizer on smart building
摘要
Abstract
In the edge computing environment of smart buildings,to minimize the overall system latency and energy consump-tion in resource-constrained and complex conditions,this paper proposed an edge computing offloading method based on data compression and improved gray wolf algorithm(CLGWO).Firstly,it used the differential dictionary encoding compression method to estimate the data compression rate and the overhead incurred by compression.It combined the Lévy flight algorithm and spiral asymptotic hunting method to enhance the global search capability of the grey wolf optimizer.Finally,it determined the optimal offloading scheme by combining the estimated compression effects with the improved grey wolf optimizer.Experi-mental results indicate that the CLGWO method reduces the overall latency and energy consumption of computing task offloa-ding,thereby verifying its effectiveness and feasibility.This approach provides a new solution to the edge computing offloading problem in buildings.关键词
移动边缘计算/计算卸载/数据压缩/任务调度/灰狼算法优化Key words
mobile edge computing/calculate offloading/data compression/task scheduling/gray wolf algorithm optimization分类
信息技术与安全科学引用本文复制引用
沈政,卢先领..智慧楼宇环境下基于数据压缩和改进灰狼算法的边缘计算卸载方法[J].计算机应用研究,2024,41(11):3311-3316,6.基金项目
国家自然科学基金资助项目(61773181) （61773181）
