Investigation on the IP Flow Inter-arrival Time in Large-scale Network

被引:6
作者
Wu, Hua [1 ]
Zhou, Mingzhong [1 ]
Gong, Jian [1 ]
机构
[1] Southeast Univ, Sch Comp Sci & Engn, Nanjing, Peoples R China
来源
2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15 | 2007年
关键词
large-scale networks; IP flows; inter-arrival time distribution model; flow length; autocorrelation;
D O I
10.1109/WICOM.2007.482
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper analyzes the IP now inter-arrival time distribution and the inter-arrival time autocorrelations of the traces collected in different large-scale networks. It is found that the IP flow inter-arrival time distribution follows the Weibull distribution which has the parameter alpha close to 1.0 as the scale of network becomes larger, so the Weibull distribution degrades to the Exponential distribution. It is also discovered that the autocorrelation decreases as the IP flows' length increases. According to the studies above, this paper deduces the conclusion as following: The IP flow inter-arrival time distribution fits to the Weibull distribution generally, when the IP flow length exceed a certain threshold, the W flow interarrival time fits to the Poisson distribution.
引用
收藏
页码:1925 / 1928
页数:4
相关论文
共 6 条
  • [1] BARAKAT C, IEEE T ON SIGNAL PRO, V51, P1
  • [2] Estimating the Heavy Tail Index from Scaling Properties
    Mark E. Crovella
    Murad S. Taqqu
    [J]. Methodology And Computing In Applied Probability, 1999, 1 (1) : 55 - 79
  • [3] Feldt K S, 2000, Pain Manag Nurs, V1, P13, DOI 10.1053/jpmn.2000.5831
  • [4] KORTEBI A, 2005, P ACM SIGMETRICS, P217
  • [5] A compound model for TCP connection arrivals for LAN and WAN applications
    Nuzman, C
    Saniee, I
    Sweldens, W
    Weiss, A
    [J]. COMPUTER NETWORKS, 2002, 40 (03) : 319 - 337
  • [6] ROSSI D, ANALYZING