Network Traffic Matrix Estimation Based on Multiple Data Sources
Hong Wang · Jisuanji gongcheng · 2009
Aiming at the problem that most of the previous approaches infer traffic matrix from either SNMP link loads or sampled NetFlow records.This paper designs a novel inference techniques that,by statistically correlating SNMP link loads and sampled NetFlow records.And it designs techniques that,by comparing notes between the above two information sources,identify and remove dirty data,and therefore allow for accurate estimation of the traffic matrices with the cleaned data.Experimental results prove that the algorithm has a higher accuracy.