Examining Self-Similarity Network Traffic Intervals

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Provided by: University of Bahrain
Topic: Networking
Format: PDF
Understanding network traffic pattern and its impact on the Internet provides valuable insights in designing new network protocols, particularly in designing one for applications with a tendency to generate burst traffic of data, such as Voice over IP (VoIP). To capture the behavior, network traffic can be illustrated on many scales using the notation of self-similarity because network traffic is statistically self-similar. In this paper, they propose a study on analyzing the length of a traffic interval by self-similarity based on the difference between arrival times of packets.
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