华东理工大学学报（自然科学版）2026，Vol.52Issue(2)：265-275,11.DOI:10.14135/j.cnki.1006-3080.20250509001
云边协同环境下可靠低延迟的任务卸载方法
Reliable and Low-Latency Task Offloading Approach in Cloud-Edge Collaborative Environments
方卓越 1虞慧群 2范贵生2
作者信息
- 1. 华东理工大学计算机科学与工程系,上海 200237
- 2. 华东理工大学计算机科学与工程系,上海 200237||上海智慧能源工程技术研究中心,上海 201103
- 折叠
摘要
Abstract
In recent years,cloud computing has been widely adopted by individuals and organizations.However,as cloud resources are typically deployed far from end users,processing tasks may incur considerable latency.Therefore,it is both reasonable and necessary to leverage the advantages of edge computing to develop a cloud-edge collaborative network architecture.A tree-based genetic programming hyper-heuristic algorithm(TBGP-HH)is proposed to address the task offloading problem in cloud-edge collaborative environments.The algorithm can dynamically generate service placement and task offloading strategies based on resource configurations and input tasks,thereby enhancing task processing reliability and reducing latency.First,a set of low-level heuristic algorithms is designed according to the objectives of task offloading.These heuristics are then encoded as genes to construct individual encoding trees for population initialization.Next,the population evolves iteratively through selection,crossover,and mutation operations,with an elitism strategy adopted to preserve high-quality individuals.Finally,a heuristic algorithm with strong performance in both reliability and latency optimization is generated to guide service placement and task offloading.Experimental comparisons with benchmark algorithms in real-world application scenarios demonstrate that TBGP-HH consistently improves task processing reliability and reduces latency across diverse scenarios,with overall performance outperforming recent task offloading algorithms.关键词
云边协同环境/树状遗传编程/超启发式算法/可靠低延迟/任务卸载Key words
cloud-edge collaborative environment/tree-based genetic programming/hyper-heuristic algorithm/reliable and low-latency/task offloading分类
信息技术与安全科学引用本文复制引用
方卓越,虞慧群,范贵生..云边协同环境下可靠低延迟的任务卸载方法[J].华东理工大学学报（自然科学版）,2026,52(2):265-275,11.
