Identification of IP packet transmission time series using neuro-fuzzy techniques

Author

Chabaa, Samira ; Antari, Jilali ; Zeroual, Abdelouhab

Author_Institution

Dept. of Phys., Cadi Ayyad Univ., Marrakesh, Morocco

fYear

2011

fDate

7-9 April 2011

Firstpage

1

Lastpage

5

Abstract

In this paper we are interested to applied the adaptive neuro-fuzzy inference system (ANFIS) technique, which is realized by an appropriate combination of fuzzy systems and neural networks, for identifying and forecasting a set of input and output data of packet transmission over internet protocol (IP) networks. The obtained results demonstrate that the developed model presents the same statistical characteristics as those really observed. This model fits well real data and provides an effective description of network condition at different times.

Keywords

IP networks; Internet; fuzzy reasoning; fuzzy set theory; neural nets; protocols; statistical analysis; telecommunication computing; telecommunication traffic; time series; ANFIS; IP packet transmission time series identification; Internet protocol networks; adaptive neuro-fuzzy inference system technique; fuzzy systems; network traffic analysis; neural networks; Adaptation models; Adaptive systems; Data models; Firing; IP networks; Internet; Predictive models; ANFIS; Data analysis; Forecasting; Packet transmission data; Prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems (ICMCS), 2011 International Conference on

Conference_Location

Ouarzazate

ISSN

Pending

Print_ISBN

978-1-61284-730-6

Type

conf

DOI

10.1109/ICMCS.2011.5945681

Filename

5945681