Traffic Matrix Estimation Using Square Root Filtering/Smoothing Algorithm

摘要：

The traffic matrix (TM) is one of the crucial inputs in many network management and traffic engineering tasks.As it is usually impossible to directly measure traffic matrices,it becomes an important research topic to infer traffic matrix by reasonably modeling,and incorporating the measurement data of limited links,as well as other additional information.In this paper,we propose Square Root Filtering/Smoothing traffic matrix estimation (SRFsTME) algorithm based on Kalman Smoothing decomposition to improve our proposed Square Root Kalman Filtering traffic matrix estimation (SRKFFME) algorithm.Simulation and actual traffic testing results show that SRFsTME algorithm is more numerical accurate and stable than the SRKFTME algorithm.

作者: Jingjing Zhou Jiahai Yang Yang Yang Guanqun Zhang

作者单位: Information Engineering School,University of Science and Technology Beijing Beijing,China,PA 100083 The Network Research Center,Tsinghua University Tsinghua National Laboratory for Information Science Information Engineering School,University of Science and Technology Beijing Beijing,China,PA 100083

会议类型: 国际会议

会议名称: 11th Asia-Pacific Network Operations and Management Symposium(APNOMS 2008)(第十一届亚太网络运行和管理国际研讨会)

会议地点: 北京

会议语种:英文

页码: 519-522

在线出版日期: 2008-10-22（万方平台首次上网日期，不代表论文的发表时间）