Title :
Statistical analysis and mathematical modeling of network (segment) traffic
Author :
Mushtaq, S.A. ; Rizvi, Azhar A.
Author_Institution :
Dept. of Electron., Quaid-I-Azam Univ., Islamabad
Abstract :
Network traffic due to its heterogeneity can be modeled by heavy tail distributions. A 100 Mbps Ethernet link has been used to capture the network traffic (IP Packets) and the measurements on a switched Ethernet system are presented that reveal new insights into the statistical nature of the traffic. Various parameters of sniffed network traffic from six different data sets are parsed for its characterization. Packet inter-arrival time and packet size are statistically evaluated and analyzed. Packet inter-arrival time follows power law and can be modeled by heavy tail distribution (Pareto distribution). Hybrid mathematical model of packet size has also been presented
Keywords :
IP networks; Pareto distribution; local area networks; mobile radio; radio links; statistical analysis; telecommunication switching; telecommunication traffic; 100 Mbit/s; Ethernet link; IP Packets; Packet interarrival time; Pareto distribution; heavy tail distributions; hybrid mathematical model; mathematical modeling; network traffic; packet size; power law; statistical analysis; switched Ethernet system; Communication switching; Communication system traffic control; Ethernet networks; IP networks; Mathematical model; Packet switching; Probability distribution; Statistical analysis; Telecommunication traffic; Traffic control;
Conference_Titel :
Emerging Technologies, 2005. Proceedings of the IEEE Symposium on
Conference_Location :
Islamabad
Print_ISBN :
0-7803-9247-7
DOI :
10.1109/ICET.2005.1558889
