NDLI: Accurate and Efficient Traffic Monitoring Using Adaptive Non-Linear Sampling Method

Content Provider	IEEE Xplore Digital Library
Author	Chengchen Hu Sheng Wang Jia Tian Bin Liu Yu Cheng Yan Chen
Copyright Year	2008
Description	Author affiliation: Tsinghua Univ., Beijing (Chengchen Hu; Sheng Wang; Jia Tian; Bin Liu)
Abstract	Sampling technology has been widely deployed in measurement systems to control memory consumption and processing overhead. However, most of the existing sampling methods suffer from large estimation errors in analyzing small-size flows. To address the problem, we propose a novel adaptive non-linear sampling (ANLS) method for passive measurement. Instead of statically configuring the sampling rate, ANLS dynamically adjusts the sampling rate for a flow depending on the number of packets having been counted. We provide the generic principles guiding the selection of sampling function for sampling rate adjustment. Moreover, we derive the unbiased flow size estimation, the bound of the relative error, and the bound of required counter size for ANLS. The performance of ANLS is thoroughly studied through theoretic analysis and experiments under synthetic/real network data traces, with comparison to several related sampling methods. The results demonstrate that the proposed ANLS can significantly improve the estimation accuracy, particularly for small-size flows, while maintain a memory and processing overhead comparable to existing methods.
Starting Page	26
Ending Page	30
File Size	295049
Page Count	5
File Format	PDF
ISBN	9781424420254
ISSN	0743166X
DOI	10.1109/INFOCOM.2008.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sampling methods Telecommunication traffic Estimation error Engineering management USA Councils Counting circuits Random access memory Remote monitoring Communications Society Programmable control
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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