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Traffic Measurement on the Internet [electronic resource] / by Tao Li, Shigang Chen.

By: Li, Tao [author.].
Contributor(s): Chen, Shigang [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Computer Science: Publisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: IX, 82 p. 24 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781461448518.Subject(s): Computer science | Computer communication systems | Computers | Electrical engineering | Computer Science | Computer Communication Networks | Information Systems Applications (incl. Internet) | Communications Engineering, Networks | Information Systems and Communication ServiceAdditional physical formats: Printed edition:: No titleDDC classification: 004.6 Online resources: Click here to access online
Contents:
Introduction -- Per-Flow Size Estimators -- Spreader Classification -- Origin-Destination Flow Measurement.
In: Springer eBooksSummary: 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.
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Introduction -- Per-Flow Size Estimators -- Spreader Classification -- Origin-Destination Flow Measurement.

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.

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