Li, Tao. <br/><br/>
Traffic Measurement on the Internet  [electronic resource] / 
by Tao Li, Shigang Chen. 
 - IX, 82 p. 24 illus.  online resource. 
 - SpringerBriefs in Computer Science,  2191-5768 .
 - SpringerBriefs in Computer Science, .
<br/><br/>Introduction -- Per-Flow Size Estimators -- Spreader Classification -- Origin-Destination Flow Measurement. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9781461448518 
<br/><br/><label>Standard No.: </label>10.1007/978-1-4614-4851-8  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Computer communication systems.<br/>Computers.<br/>Electrical engineering.<br/>Computer Science.<br/>Computer Communication Networks.<br/>Information Systems Applications (incl. Internet).<br/>Communications Engineering, Networks.<br/>Information Systems and Communication Service.
<br/><br/><label>LC Class. No.: </label>TK5105.5-5105.9 
<br/><br/><label>Dewey Class. No.: </label>004.6