ISCAS OpenIR
hyper-erlang based model for network traffic approximation
Wang JF; Zhou HX; Xu FJ; Li L
2005
Conference Name3rd International Conference on Parallel and Distributed Processing and Applications
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages1012-1023
Conference DateNOV 02-05,
Conference PlaceNanjing, PEOPLES R CHINA
Indexed Typesci ; istp ; ei
Publish PlaceHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
PublisherPARALLEL AND DISTRIBUTED PROCESSING AND APPLICATIONS
ISSN0302-9743
ISBN3-540-29769-3
DepartmentChinese Acad Sci, Natl Key Lab Integrated Informat Syst Technol, Inst Software, Beijing 100080, Peoples R China. Chongqing Commun Inst, Chongqing 400035, Peoples R China.
English AbstractThe long-tailed distribution characterizes many properties of Internet traffic. The property is often modeled by Lognormal distribution, Weibull or Pareto distribution theoretically. However, it hinders us in traffic analysis and evaluation st
KeywordApproximation Theory Computational Complexity Distributed Computer Systems Internet Mathematical Models
SponsorshipNanjing Univ, State Key Lab Novel Software Technol
Language英语
WOS IDWOS:000233712200099
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/12714
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Wang JF,Zhou HX,Xu FJ,et al. hyper-erlang based model for network traffic approximation[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:PARALLEL AND DISTRIBUTED PROCESSING AND APPLICATIONS,2005:1012-1023.
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