Traffic Distribution Forecasting in Packet-Switching Networks

被引：0

作者：

Zandi, Faramak ^{[1
]}

机构：

[1] Alzahra Univ, Fac Engn & Technol, Dept Ind Engn, Tehran, Iran

来源：

FOURTH INTERNATIONAL CONFERENCE ON NETWORKING AND SERVICES (ICNS 2008), PROCEEDINGS | 2008年

关键词：

Fuzzy; RBF Network; Multi-Commodity Network; Traffic Distribution Matrix;

D O I：

10.1109/ICNS.2008.16

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a traffic distribution forecasting model in packet-switching networks with mapping these networks into multi-commodity networks. Firstly, the radial basis function (RBF) networks is applied to monitor and learn the real traffic distribution at present time. Then, a quadratic model is used to calibrate these functions for precise traffic distribution forecasting. The implementation of the proposed model is demonstrated through the use of a numerical example.

引用

页码：115 / 121

页数：7

共 20 条

[1]

Bazaraa M.S., 1990, LINEAR PROGRAMMING N, DOI DOI 10.1002/0471787779

[2]

FOROUZAN B, 1998, INTRO DATA COMMUNICA

[3]

Haykin S., 1994, Neural networks: a comprehensive foundation

[4]

HWANG CL, 1989, FUZZY MATH PROGRAMMI

[5]

JAMIN ZHC, 2005, P INT MEAS C, P139

[6]

LEVY FY, 1999, P ITC 16

[7]

MASUD H, 1989, MULTIOBJECTIVE DECIS

[8]

MEDIA A, 2002, P ACM SIGCOMM AUG

[9] NETWORKS FOR APPROXIMATION AND LEARNING [J].

POGGIO, T ;

GIROSI, F .

PROCEEDINGS OF THE IEEE, 1990, 78 (09) :1481-1497

[10]

ROUGHAN M, 2003, P ACM SIGMETRICS JUN

← 1 2 →