Adaptive random sampling for traffic load measurement

Back Young Choi, Jaesung Park, Zhi-Li Zhang

Research output: Contribution to journalConference articlepeer-review

42 Scopus citations

Abstract

Traffic measurement and monitoring is an important component of network QoS management and traffic engineering. With high-speed Internet links, efficient and effective packet sampling techniques for traffic measurement are not only desirable, but increasingly becoming a necessity. In this paper, we propose and analyze an adaptive random packet sampling technique for traffic load measurement. In particular, we address the problem of bounding sampling error within a pre-specified tolerance level. Using real network traffic traces, we show that the proposed adaptive random sampling technique indeed produces the desired accuracy, while also yielding significant reduction in the amount of traffic samples.

Original languageEnglish (US)
Pages (from-to)1552-1556
Number of pages5
JournalIEEE International Conference on Communications
Volume3
StatePublished - Jul 18 2003
Event2003 International Conference on Communications (ICC 2003) - Anchorage, AK, United States
Duration: May 11 2003May 15 2003

Fingerprint Dive into the research topics of 'Adaptive random sampling for traffic load measurement'. Together they form a unique fingerprint.

Cite this