摘要
针对软件定义网络(SDN)的监控效果问题,提出了一种可对网络应用屏蔽底层细节的软件定义网络监控框架及一种自适应的的网络监控算法.该算法通过可变频率流量统计策略动态调整监控采样周期,从而在监控准确率和网络负载之间维持平衡.监控框架通过应用程序接口为上层应用提供监控算法接口,并与底层网络进行数据交互,从而实现了屏蔽底层网络复杂性的监控.实验结果表明,该框架与算法具有较小的监控误差和较低的流量负载,是一种理想的SDN监控方法.
A monitoring framework proposed as an adaptive monitoring algorithm has been proposed to solve the performance problem of Software Defined Networks.The presented algorithm can keep balance between monitoring accuracy and network overhead by a variable frequency traffic statistic strategy which can adjust the monitoring period dynamic.The monitoring framework afford application programming interface to high level applications and interconnect with underlying low-level networks.Experimental result reveals the proposed method has lower monitoring error and network overhead.It is an ideal SDN monitoring method.
出处
《西南师范大学学报（自然科学版）》
CAS
北大核心
2017年第3期151-156,共6页
Journal of Southwest China Normal University(Natural Science Edition)
基金
江苏省教育科学"十二五"规划重点资助课题(苏教科规领[2015]1号)
南通航运职业技术学院院级课题(2013HYJY/18)
