DocumentCode
2236899
Title
Good news about heavy tails [network traffic]
Author
Charzinski, Joachim
Author_Institution
Inf. & Commun. Networks, Siemens AG, Munich, Germany
fYear
2000
fDate
2000
Firstpage
535
Lastpage
542
Abstract
Heavy-tailed distributions have been widely found in traffic characteristics like connection volumes or connection durations in today´s data networks. The purpose of this paper is to show that these heavy-tailed distributions, besides the well-known undesirable features like producing self-similar, long-range dependent traffic, also exhibit desirable features in some cases. Two such cases are presented here: (1) the detection of flows in network traffic, making it possible to determine the right point in time to establish a shortcut connection for a flow. (2) the dimensioning of dial-in access servers where the blocking probability is actually reduced when the holding time variance increases
Keywords
statistical analysis; telecommunication traffic; blocking probability; connection durations; connection volumes; data networks; dial-in access servers; heavy-tailed distributions; holding time variance; self-similar long-range dependent traffic; shortcut connection; traffic characteristics; Exponential distribution; Internet; Network servers; Power measurement; Probability distribution; Tail; Telecommunication traffic; Time measurement; Traffic control; Web server;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Switching and Routing, 2000. ATM 2000. Proceedings of the IEEE Conference on
Conference_Location
Heidelberg
Print_ISBN
0-7803-5884-8
Type
conf
DOI
10.1109/HPSR.2000.856705
Filename
856705
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