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Application Traffic Activity Graph Analysis

In: Handbook of Optimization in Complex Networks

Author

Listed:
  • Yu Jin

    (University of Minnesota)

  • Esam Sharafuddin

    (University of Minnesota)

  • Zhi-Li Zhang

    (University of Minnesota)

Abstract

Understanding and analyzing traffic characteristics are fundamental to the design, development and implementation of networks. The traditional emphasis of network traffic analysis has been on the statistical properties of traffic, leading to the important discoveries such as heavy-tails and long range dependence. As networking technologies continue to mature and evolve, and more sophisticated network applications are invented and deployed, operating, managing and securing networks have become increasingly challenging tasks, and require us to understand, analyze and model the behavioral characteristics of network traffic, such as communication patterns, interaction structures and trends of applications, users and other entities in the networks.

Suggested Citation

  • Yu Jin & Esam Sharafuddin & Zhi-Li Zhang, 2012. "Application Traffic Activity Graph Analysis," Springer Optimization and Its Applications, in: My T. Thai & Panos M. Pardalos (ed.), Handbook of Optimization in Complex Networks, chapter 0, pages 165-195, Springer.
    • Handle: RePEc:spr:spochp:978-1-4614-0857-4_6
    DOI: 10.1007/978-1-4614-0857-4_6
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