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135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aTraffic measurement on the internet /$fTao Li, Shigang Chen
205   $a1st ed. 2013.
210   $aNew York $cSpringer$d2012
215   $a1 online resource (86 p.)
225 0 $aSpringerBriefs in computer science
300   $aDescription based upon print version of record.
311   $a1-4614-4850-6 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Per-Flow Size Estimators -- Spreader Classification -- Origin-Destination Flow Measurement.
330   $aTraffic Measurement on the Internet presents several novel online measurement methods that are compact and fast. Traffic measurement provides critical real-world data for service providers and network administrations to perform capacity planning, accounting and billing, anomaly detection, and service provision. Statistical methods play important roles in many measurement functions including: system designing, model building, formula deriving, and error analyzing. One of the greatest challenges in designing an online measurement function is to minimize the per-packet processing time in order to keep up with the line speed of the modern routers. This book also introduces a challenging problem ? the measurement of per-flow information in high-speed networks, as well as, the solution. The last chapter discusses origin-destination flow measurement.
410  0$aSpringerBriefs in Computer Science,$x2191-5768
606   $aInternet
606   $aTelecommunication$xTraffic$xManagement
615  0$aInternet.
615  0$aTelecommunication$xTraffic$xManagement.
676   $a006.76
700   $aLi$b Tao$0928938
701   $aChen$b Shigang$0867170
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906   $aBOOK
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