Title :
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
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;
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2011 International Conference on
Conference_Location :
Ouarzazate
Print_ISBN :
978-1-61284-730-6
DOI :
10.1109/ICMCS.2011.5945681
