Title :
A Novel Network Traffic Model Based on Superstatistics Theory
Author :
Yang Yue ; Hu Hanping ; Xiong Wei ; Ding Fan
Author_Institution :
Inst. for Pattern Recognition & AI, Huazhong Univ of Sci & Tech, Wuhan, China
Abstract :
Mutual interactions of different network equipment, topology configurations, transmission protocols and cooperation and competition among the network users inevitably cause the network traffic flow which is controlled by several driving factors to appear non-stationary and complicated behavior. Because of its non-stationary property it can not easily use traditional way to analyze the complicated network traffic. A new method of non-stationary network traffic based on superstatistics theory is discussed in the paper. According to the superstatistics theory, the complex dynamic system may have a large fluctuation of intensive quantities on large time scales which cause the system to behave as non-stationary which is also the characteristic of network traffic.
Keywords :
protocols; statistics; telecommunication network topology; telecommunication traffic; complicated network traffic; network traffic flow; novel network traffic model; superstatistics theory; topology configurations; transmission protocols; Artificial intelligence; Communication system traffic control; Fluctuations; Geology; Intrusion detection; Pattern recognition; Predictive models; Statistics; Telecommunication traffic; Traffic control;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473387