Traffic Measurement on the Internet

  • Tao Li
  • Shigang Chen

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Tao Li, Shigang Chen
    Pages 1-9
  3. Tao Li, Shigang Chen
    Pages 11-35
  4. Tao Li, Shigang Chen
    Pages 37-63
  5. T. Li, S. Chen
    Pages 65-82

About this book


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.


Dynamic bit sharing Internet technologies Randomized counter sharing Statistical methods Traffic measurement

Authors and affiliations

  • Tao Li
    • 1
  • Shigang Chen
    • 2
  1. 1., Department of Computer and InformationUniversity of FloridaGainesvilleUSA
  2. 2., Department of ComputerandUniversity of FloridaGainesvilleUSA

Bibliographic information