DocumentCode
1862203
Title
A novel computer network traffic modeling based on threshold-optimization
Author
Jian Shi ; Shaoping Wang ; Kang Wang ; Delaurentis, Daniel
Author_Institution
Beihang University School of Automation Science and Electrical Engineering, China
fYear
2012
fDate
3-5 March 2012
Firstpage
209
Lastpage
215
Abstract
Aiming at bottlenecks (such as ambiguous physical meaning, complex mathematical expression, and so on) in traditional network traffic modeling analysis, this paper puts forward a novel threshold-optimization-based traffic model.In this model, the actual network traffic is divided into two different parts (i.e., a-traffic with burst characteristic, and b-traffic with steady characteristic) according to optimized threshold results obtained with particle swarm optimization algorithm. The a-traffic and b-traffic are respectively described with mathematical formulas which not only can depict the traffic nature precisely but also can be resolved easily. It is proved that the threshold-optimization-based traffic model presented in this paper can describe the traffic nature more accurately.
Keywords
Particle Swarm Optimization (PSO); computer network; threshold-optimization; traffic modeling;
fLanguage
English
Publisher
iet
Conference_Titel
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location
Xiamen
Electronic_ISBN
978-1-84919-537-9
Type
conf
DOI
10.1049/cp.2012.0956
Filename
6492563
Link To Document