摘要
智慧协同网络(Smart Identifier NETwork/SINET)作为一种摒弃传统TCP/IP机制的全新型网络架构,在网络架构设计根本上支持资源动态适配,实现网络资源优化利用。本文在网络流量实时感知机制的基础上,设计了基于卡尔曼滤波算法的流量预测机制,实现了该机制在SINET原型系统中的运行,并测试了流量预测结果的准确性,验证了智慧协同网络架构下基于卡尔曼滤波的流量预测机制的可行性。
Smart Identifier NETwork (SINET)is a clean-slate future.Internet architecture,which abandons the TCP/IP architecture.SINET can support resources fundamentally the dynamic adaptation,so as to realize the SINET to optimize the utilization of resources.Based on the traffic-aware scheme,this paper presented the method of traffic prediction based on kalman filter.In the SINET prototype system,we completed the realization of traffic flow prediction mechanism,tested the accuracy of the traffic prediction,and verified the feasibility of this method.
作者
贾濡
潘沭铭
JIA Ru;PAN Shu-ming(China Academy of Electronics and Information Technology,Beijing 100041,China;NO.66736Unit of the PLA,Beijing 100144,China)
出处
《中国电子科学研究院学报》
北大核心
2018年第6期702-707,共6页
Journal of China Academy of Electronics and Information Technology
关键词
智慧协同网络
卡尔曼滤波算法
流量预测
Smart Identifier NETwork (SINET)
Kalman filter
Traffic prediction
