Modeling Self-Similar Traffic for Network Simulation

نویسندگان

  • Xiaofeng Bai
  • Abdallah Shami
چکیده

In order to closely simulate the real network scenario thereby verify the effectiveness of protocol designs, it is necessary to model the traffic flows carried over realistic networks. Extensive studies [1] showed that the actual traffic in access and local area networks (e.g., those generated by ftp and video streams) exhibits the property of self-similarity and long-range dependency (LRD) [2]. In this appendix we briefly introduce the property of self-similarity and suggest a practical approach for modeling self-similar traces with specified traffic intensity.

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عنوان ژورنال:
  • CoRR

دوره abs/1308.3842  شماره 

صفحات  -

تاریخ انتشار 2006