DocumentCode
2480647
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
fYear
2010
fDate
22-23 May 2010
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IWISA.2010.5473387
Filename
5473387
Link To Document