C-V2X边缘服务器的动态负载均衡算法研究  

Research on Dynamic Load Balancing Algorithm for C-V2X Edge Server

作　　者：林峰 段建岚 李传伟 蒋建春[3] LING Feng;DUAN Jianlan;LI Chuanwei;JIANG Jianchun(Institute of Electronic Information and Network Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;College of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;College of Automation,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学电子信息与网络工程研究院,重庆400065 [2]重庆邮电大学通信与信息工程学院,重庆400065 [3]重庆邮电大学自动化学院,重庆400065

出　　处：《计算机工程》2020年第12期201-206,221,共7页Computer Engineering

基　　金：国家科技重大专项(2018ZX03001023-006);重庆市教育委员会科学技术研究项目(KJQN201801611)。

摘　　要：为更好地解决蜂窝车联网与移动边缘计算融合应用场景下边缘服务器资源负载分配不均、资源利用率较低等问题,提出一种动态负载均衡算法。通过监测边缘服务器的实时运行状态动态更新负载指标权值,准确评估边缘服务器的实际负载状态,并结合边缘服务器集群的负载率阈值、均值和标准差,实现任务的合理分配。实验结果表明,与传统随机轮询算法和最小流量均衡算法相比,该算法能够更好地提升边缘服务器集群的负载均衡度,缩短任务完成时间。To smooth the load imbalancing across the edge servers and improve resource utilization in the scenarios of Cellular Vehicle to Everything(C-V2X)integrated with Mobile Edge Computing(MEC),this paper proposes a dynamic load balancing algorithm.The algorithm monitors the real-time running status of the edge servers to adjust the weight of each load index dynamically,so that the actual load status of edge servers can be accurately evaluated.Then the algorithm considers the threshold,mean value and the standard deviation of loads of the edge server cluster to perform reasonable task allocation.Experimental results show that compared with the traditional random polling algorithm and minimum traffic balancing algorithm,the proposed algorithm can better smooth the load imbalancing in the edge server cluster,and reduce the time spent for tasks.

关 键 词：蜂窝车联网 边缘计算 负载均衡 动态调整 集群 

分 类 号：TN929.5[电子电信—通信与信息系统]