多环节成本意识任务迁移与网络负载平衡技术用于车辆边缘计算
Shih-Yang Lin1, Jie-Qin Wang2, Shi-Ming Peng2,3
1School of Architecture Engineering, Weifang University of Science and Technology, Weifang, 262700, China. shihyang.lin@wfust.edu.cn.
Scientific reports
|August 1, 2025
概括
在6G网络中,车辆边缘计算面临资源限制. 拟议的多环节成本意识任务迁移 (MCATM) 机制通过将任务迁移到合适的服务器,提高成功率和负载平衡来增强合作车辆边缘计算 (VEC).
科学领域:
- 移动通信 移动通信
- 车辆网络 车辆网络
- 边缘计算 边缘计算
背景情况:
- 6G技术将整合车辆无线连接与多访问边缘计算 (MEC),用于合作驾驶等应用.
- 越来越多地,车辆中的本地MEC服务器可能缺乏足够的资源来处理卸载任务.
- 邻近服务器之间的协作计算可以通过任务迁移缓解本地资源稀缺.
研究的目的:
- 调查合作车辆边缘计算 (VEC) 的动态资源分配和任务迁移.
- 为过载的本地VEC服务器提出多节点成本意识任务迁移 (MCATM) 机制.
- 确保高效的任务迁移到最合适的VEC服务器.
主要方法:
- MCATM机制评估最近的VEC服务器功能,以进行任务卸载.
- 它解决了在n-hop邻居之间重复的服务器选择,以实现最佳的任务迁移.
- 它使用权重变量分析层次过程 (WVAHP) 和预分配与成本平衡 (PACB) 算法识别有效的传输路径.
主要成果:
- MCATM成功地将计算任务迁移到相邻的适当的VEC服务器.
- 该机制增加了任务迁移成功率.
- MCATM有效地平衡了网络流量和计算服务器的能力.
结论:
- 拟议的MCATM机制通过实现高效的任务迁移来增强合作VEC.
- MCATM解决了车辆边缘计算环境中的资源限制问题.
- 这种方法提高了6G车辆网络的可靠性和效率.
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