TY - JOUR
T1 - Adaptive random sampling for traffic load measurement
AU - Choi, Back Young
AU - Park, Jaesung
AU - Zhang, Zhi-Li
PY - 2003/7/18
Y1 - 2003/7/18
N2 - 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.
AB - 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.
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M3 - Conference article
AN - SCOPUS:0038308989
VL - 3
SP - 1552
EP - 1556
JO - Conference Record - International Conference on Communications
JF - Conference Record - International Conference on Communications
SN - 0536-1486
T2 - 2003 International Conference on Communications (ICC 2003)
Y2 - 11 May 2003 through 15 May 2003
ER -