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
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;
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
DOI :
10.1049/cp.2012.0956