NDLI: A structure-preserving method of sampling self-similar traffic

Content Provider	IEEE Xplore Digital Library
Author	Elbiaze, H. Cherkaoui, O. McGibbon, B. Blais, M.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Quebec Univ., Montreal, Que., Canada (Elbiaze, H.; Cherkaoui, O.)
Abstract	This paper presents a new structure-preserving method of sampling self-similar traffic with direct applications to network monitoring and resource provisioning. Predicting the bandwidth required by upcoming traffic plays a key role for providing an efficient and intelligent resource provisioning, especially in the context of IP over WDM. To achieve this, we are proposing a periodic sampling method (called maximum-based sampling) that picks one measurement during a sampling interval of size T. Mathematical analysis and simulation results demonstrate that the proposed maximum-based sampling method preserves the self-similarity property of the original traffic over many time scales. The LMMSE (linear minimum mean square error) prediction method is used for traffic forecast. The numerical results show that the accuracy of traffic prediction performed on the proposed sampled process remains stable for different sampling interval size T.
Sponsorship	IEEE Comput. Soc
Starting Page	161
Ending Page	168
File Size	206610
Page Count	8
File Format	PDF
ISBN	0769524583
ISSN	15267539
DOI	10.1109/MASCOTS.2005.7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sampling methods Traffic control Telecommunication traffic Monitoring Bandwidth Wavelength division multiplexing Size measurement Time measurement Mathematical analysis Analytical models IP over WDM self-similarity traffic analysis network monitoring resource provisioning sampling
Content Type	Text
Resource Type	Article

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