accurate long-tailed network traffic approximation and its queueing     analysis by hyper-erlang distributions

ISCAS OpenIR

	accurate long-tailed network traffic approximation and its queueing analysis by hyper-erlang distributions
	Wang JF; Zhou HX; Li L; Xu FJ
	2005
Conference Name	30th Annual IEEE Conference on Local Computer Networks
Source	Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
Pages	148-155
Conference Date	NOV 15-17,
Conference Place	Sydney, AUSTRALIA
Indexed Type	istp ; ieee ; acm ; ei
Publish Place	10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
Publisher	LCN 2005: 30th Conference on Local Computer Networks, Proceedings
ISBN	0-7695-2421-4
Department	Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
English Abstract	Internet traffic has been proven to be long-tailedness and often modeled by Lognormal distribution, Weibull or Pareto distributions theoretically. However, these mathematical models hinder us in traffic analysis and evaluation studies due to t
Keyword	Internet Traffic M-g-1 Queueing Behavior Pareto Distribution Weibull Distribution Accurate Long-tailed Network Traffic Approximation Hyper-erlang Distributions Hyperexponential Based Method Lognormal Distribution Mixed Erlang Distribution Queueing Analysi
Sponsorship	IEEE, ACoRN, Natl ICT Australia, BBN Technologies, Univ New S Wales
Language	英语
Content Type	会议论文
URI	http://ir.iscas.ac.cn/handle/311060/12568
Collection	中国科学院软件研究所
Recommended Citation GB/T 7714	Wang JF,Zhou HX,Li L,et al. accurate long-tailed network traffic approximation and its queueing analysis by hyper-erlang distributions[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:LCN 2005: 30th Conference on Local Computer Networks, Proceedings,2005:148-155.

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