基于资源集群的资源搜索和分配方案,用于车辆特设网络中的车辆云
Hyunseok Choi1, Yoonhyeong Lee2, Gayeong Kim3
1Research Institute for Computer and Information Communication, Chungbuk National University, Cheongju 28644, Republic of Korea.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
车载云通过按类型而不是位置分类资源来有效管理资源. 这种基于资源集群的资源搜索和分配 (RCSA) 计划改善了移动车辆网络中的资源利用和分配.
科学领域:
- 计算机科学 计算机科学
- 网络化 网络化 网络化
- 分布式系统 分布式系统
背景情况:
- 车辆云利用车辆资源提供服务.
- 高效的资源搜索和分配是关键的挑战.
- 现有的基于集群的方法在车辆移动性和多样化的资源方面扎.
研究的目的:
- 提出一种新的方案,以在车载云中有效地搜索和分配资源.
- 在动态车辆环境中解决基于近距离的聚类的局限性.
主要方法:
- 引入了基于资源集群的资源搜索和分配 (RCSA) 计划.
- 按类型分组资源,使资源内部和资源间的集群搜索成为可能.
- 优先考虑的车辆具有更长的连接时间和更大的分配能力.
- 实施了动态集群重建 (RCH/RCM替换) 的机制.
主要成果:
- 与现有计划相比,RCSA的资源利用率更高.
- 拟议的方案显示了资源分配效率的提高.
- 车载云构建的整体性能得到了显著改善.
结论:
- 根据类型对资源进行聚类,对于车载云来说,比基于近距离的聚类更有效.
- 在动态的车辆环境中,RCSA为资源管理提供了强大的解决方案.
- 该方案有效地减少了云中断和通信流量.
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