Adaptive sampling measurement for high speed network traffic flow

Authors:
Yong Gan;Yong Zhang;Depei Qian
Affiliations:
School of Computer, Zhengzhou University of Light Industry, Zhengzhou, China and Department of Computer science and Technology, Xi'an Jiaotong University, Xi'an, China;Zhengzhou University of Light Industry, Zhengzhou, China;Department of Computer science and Technology, Xi'an Jiaotong University, Xi'an, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

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Abstract

The characteristic of network traffic volume is a crucial guidance for the network capacity of transferring online, and also a key parameter for network efficient and planning. Unfortunately, it is more difficult to measure full traffic trace with the advent of high speed network, so the investigation of traffic sampling measure becomes the focus of the study of high speed network traffic measurement. This paper analysis and study on sampling measurement technology, and then introduces an adaptive sampling measurement in detail. It is an improvement over fixed granularity systematic sampling. In course of measurement, the adaptive sampling algorithm adjusts the sampling granularity according to the packet arrival interval automatically. In this way, the adaptive sampling is much more accurate and economical than the static sampling method.