Traffic Measurement on the Internet [electronic resource] / by Tao Li, Shigang Chen.
Tipo de material: TextoSeries SpringerBriefs in Computer Science | SpringerBriefs in Computer ScienceEditor: New York, NY : Springer New York : Imprint: Springer, 2013Descripción: IX, 82 p. 24 illus. online resourceTipo de contenido:- text
- computer
- online resource
- 9781461448518
- SpringerLink (Online service)
- 004.6 23
- TK5105.5-5105.9
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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