摘要
针对现有车载网资源利用率低的问题,采用车联云VC这种适用于车载网络的新型云组织技术,有机结合车载自组网与云计算,利用云计算的高性能和虚拟化等特点,搭建统一部署管理平台。针对车联云任务调度中用户资源竞争问题,构建一种基于改进型层次分析法E-AHP和二分图最佳匹配KM的调度模型,解决用户资源竞争问题,合理分配任务,用户可以基于该模型获得最合理的服务代理点。
In view of the low utilization of existing vehicle area network（VAN）resources,vehicular cloud（VC）was adopted,which was a latest model cloud organization technology suitable for in-vehicle network.Combined with cloud computing technology,vehicle Ad-hoc network（VANET）took advantage of the high performance and virtualization of cloud computing to build a unified deployment management platform.Aiming at the problem of user resource competition in task scheduling of VC,a scheduling model based on enhanced analytic hierarchy process（E-AHP）and bipartite graph best matching Kuhn-Munkres（KM）was constructed.The model can commendably solve the problem of competition in user resources and allocate tasks reasonably.Users can obtain the most reasonable service agents based on the model.
出处
《计算机工程与设计》
北大核心
2018年第3期617-622,共6页
Computer Engineering and Design
