Titlebook: Complex Dynamics in Communication Networks; Ljupco Kocarev,Gábor Vattay Book 2005 Springer-Verlag Berlin Heidelberg 2005 Complexity.Gatewa

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https://doi.org/10.1007/978-3-642-59193-8P protocol, although driven by deterministic, rules may produce time-series seemingly indistinguishable from stochastic processes. On the other hand, non-linear systems have unique properties and they are able to produce a diversity of phenomena.

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Nonlinear Dynamics of TCP and its Implications to Network Performance,P protocol, although driven by deterministic, rules may produce time-series seemingly indistinguishable from stochastic processes. On the other hand, non-linear systems have unique properties and they are able to produce a diversity of phenomena.

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Understanding Complex Systemshttp://image.papertrans.cn/c/image/231427.jpg

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https://doi.org/10.1007/978-3-642-59193-8sed flow and congestion control algorithms implemented in end-hosts control competition between traffic flows. Previous work has modeled TCP competition from a macroscopic point of view that is the average TCP flow rate have been derived as a function of delay, loss and service rate [9][15]. In this

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Orthogonalreihen. Spezielle Funktionen,e network, the statistical properties of the traffic, and the rules governing the operation of the devices that constitute the system. Several types of complex collective behavior have been observed in various compononents of communication networks and their models. These include self-organized crit