METHOD OF STATISTICAL EVALUATION OF THE COMPUTER NETWORKS BANDWIDTH LIMIT ON THE BASE OF PERCOLATION MODEL
The method of statistical evaluation of the integrated computer networks bandwidth limit by means of computer simulation based on the natural science percolation theory is considered. We deal with dynamic data flows through a random discrete lattice by using discussed technique and the implemented method of statistical modeling The conditions of nodes clustering in a random environment and its threshold properties are clarified. For establishing the relationship between the certain natural heterogeneous entities and processes in computer environments, the expediency of involvement of principles of analogy and homology, which complement each other in the method of computer simulation f information flows in the network, is justified. The topology of the links is revealed by the route discovery procedure from the user node to some other node. As tests of transport processes are precisely solved problems of the theory of percolation: percolation on a one-dimensional chain, percolation on the Cayley tree, some flat lattices.
Authors: D. A. Nemov, I. V. Gerasimov, S. A. Kuzmin, A. V. Li
Direction: Informatics and Computer Technologies
Keywords: Integrated computer networks, percolation, clusters
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