02670nam 2200589Ia 450 991043759580332120200520144314.01-4614-4851-410.1007/978-1-4614-4851-8(CKB)2670000000245974(EBL)1030909(OCoLC)809794113(SSID)ssj0000739600(PQKBManifestationID)11422771(PQKBTitleCode)TC0000739600(PQKBWorkID)10688370(PQKB)10994839(DE-He213)978-1-4614-4851-8(MiAaPQ)EBC1030909(PPN)168301377(EXLCZ)99267000000024597420120921d2012 uy 0engur|n|---|||||txtccrTraffic measurement on the internet /Tao Li, Shigang Chen1st ed. 2013.New York Springer20121 online resource (86 p.)SpringerBriefs in computer scienceDescription based upon print version of record.1-4614-4850-6 Includes bibliographical references.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.SpringerBriefs in Computer Science,2191-5768InternetTelecommunicationTrafficManagementInternet.TelecommunicationTrafficManagement.006.76Li Tao928938Chen Shigang867170MiAaPQMiAaPQMiAaPQBOOK9910437595803321Traffic measurement on the internet4195332UNINA