Characterization and modeling of campus-level IP network traffic

被引:0
|
作者
Costamagna, E [1 ]
Favalli, L [1 ]
Tarantola, F [1 ]
机构
[1] Univ Pavia, Dept Elect, I-27100 Pavia, Italy
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The behavior of IP based network traffic has been the subject of several works. In this paper we compare two modeling approaches and their ability to capture two basic traffic features: packet size distribution and interarrival times. Data traces have been measured at the border gateway of the campus network of the University of Pavia at different times of the day. The two modeling schemes use respectively well established Hidden Markov Model (HMM) techniques and a stochastic engine derived from chaotic attractors.
引用
收藏
页码:501 / 504
页数:4
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