Fuzzy modeling and prediction of network traffic fluctuations

Network management is a real-time observation and control action to optimize the grade of service of a network. More emphasis is being placed on the intelligent automatic exchange for stored program controlled (SPC) systems that are capable of real-time network management. The modeling of traffic ch...

Full description

Saved in:
Bibliographic Details
Published inProceedings of COMSIG '94 - 1994 South African Symposium on Communications and Signal Processing pp. 41 - 45
Main Authors Scheffer, M.F., Beneke, J.J.P., Kunicki, J.S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1994
Subjects
Automatic control
Communication system traffic control
Control systems
Fluctuations
Fuzzy logic
Intelligent networks
Predictive models
Real time systems
Telecommunication traffic
Traffic control
Online AccessGet full text

Cover

More Information
Summary:Network management is a real-time observation and control action to optimize the grade of service of a network. More emphasis is being placed on the intelligent automatic exchange for stored program controlled (SPC) systems that are capable of real-time network management. The modeling of traffic characteristics and the prediction of future traffic flow are the first steps to efficient network control and management. This paper presents a fuzzy logic self-learning model and adaptive predictor of traffic now. The results of an application of this predictor on real world telephone links, are shown, and are compared to applications of a math-model and a Kalman-filter predictor.
ISBN:9780780319981
0780319982
DOI:10.1109/COMSIG.1994.512434