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The Third Advanced International Conference on Telecommunications (AICT'07)
Network Complexity: Cross-Layer Models and Characteristics
Morne, Mauritius
May 13-May 19
ISBN: 0-7695-2843-0
Vladimir Zaborovsky, Politechnical University, Russia
Alexsander Gorodetsky, Politechnical University, Russia
Andrey Lapin, Politechnical University, Russia
Many fundamental important questions regarding Internet processes and protocols cross-layer interaction are still remained unexplored. One of the questions is network complexity as a character of network behavior. Today complexity has three distinct and almost opposite meanings. In one case, complexity is synonymous with fluctuation in traffic dynamics and the lack of predictable structure. The second sense of complexity refers instead to how structured, hierarchical, and sophisticated a network process is. That is, "complexity" is an indicator of how many layers of order is embedded in a process. The third sense is Kolmogorov Complexity or measure of compactness of algorithmic code that can be used to modeling process. This paper considers complexity as a on of fundamental property that can be applied to describe cross-layer interaction, fractal characteristics and invariant properties caused by elastic dynamics of the virtual TCP connection and statistical distribution of retransmission.
Index Terms:
computer network, analysis; traffic, dynamics model
Citation:
Vladimir Zaborovsky, Alexsander Gorodetsky, Andrey Lapin, "Network Complexity: Cross-Layer Models and Characteristics," aict, pp.16, The Third Advanced International Conference on Telecommunications (AICT'07), 2007
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