DocumentCode :
2306823
Title :
Adaptive sampling methods to determine network traffic statistics including the Hurst parameter
Author :
Drobisz, Jack ; Christensen, Kenneth J.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
fYear :
1998
fDate :
11-14 Oct 1998
Firstpage :
238
Lastpage :
247
Abstract :
Accurate traffic characterization by a packet source is needed to predict the network behavior and to properly allocate network resources to achieve a desired quality of service for all network users. As networks have become faster, the processing load required for complete packet sampling has also grown. In some cases, for example Gigabit Ethernet, the network can deliver packets faster than a network management subsystem can process them. In order to prevent inaccurate traffic statistics due to “clipping” of traffic peaks, Claffy et al. (1993) applied several static sampling strategies to network traffic characterization. As shown in this paper, static sampling may produce inaccurate traffic statistics. Adaptive sampling methods are developed and evaluated to address the inaccuracies of static sampling. In addition, the estimation of the Hurst parameter, a measure of traffic self-similarity, is studied for static and adaptive sampling. It is shown that adaptive sampling results in a more accurate estimation of the mean, variance, and Hurst parameter for packet counts
Keywords :
adaptive estimation; computer network management; local area networks; packet switching; quality of service; sampling methods; statistical analysis; telecommunication traffic; Gigabit Ethernet; Hurst parameter; adaptive sampling methods; mean estimation; network management subsystem; network resources allocation; network traffic statistics; packet counts; packet sampling; packet source; processing load; quality of service; static sampling; traffic self-similarity; traffic statistics; variance estimation; Birth disorders; Computer science; Electronic switching systems; Ethernet networks; Lifting equipment; Sampling methods; Statistics; Switches; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks, 1998. LCN '98. Proceedings., 23rd Annual Conference on
Conference_Location :
Lowell, MA
ISSN :
0742-1303
Print_ISBN :
0-8186-8810-6
Type :
conf
DOI :
10.1109/LCN.1998.727664
Filename :
727664
Link To Document :
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