Traffic Measurement on the Internet

Beschreibung

Traffic Measurement on the Internet presents several novel online measurement methods that are compact and fast. Traffic measurement provides critical real-world data for service providers and network administrations to perform capacity planning, accounting and billing, anomaly detection, and service provision. Statistical methods play important roles in many measurement functions including: system designing, model building, formula deriving, and error analyzing. One of the greatest challenges in designing an online measurement function is to minimize the per-packet processing time in order to keep up with the line speed of the modern routers. This book also introduces a challenging problem – the measurement of per-flow information in high-speed networks, as well as, the solution. The last chapter discusses origin-destination flow measurement.
Includes supplementary material: sn.pub/extras

Autor*in

Tao Li

Themen in »Traffic Measurement on the Internet«

Dynamic bit sharing Internet technologies Randomized counter sharing Statistical methods Traffic measurement

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From the reviews:

“This book presents several online measurement methods. … this well-structured text on efficient online network traffic measurement presents the material--both the conceptual and theoretical, as well as the experimental parts--in a very readable way. Each of the four chapters ends with a list of highly relevant references.” (G. Haring, ACM Computing Reviews, January, 2013)

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