Structural and parametric synthesis of infocommunication network in condition of self-similar traffic with multiple periods of demands
Abstract
Modern telecommunication networks evolve toward transition to multi-service networks capable of delivering high varieties of flow. In this classic flow models used now and based on Poisson process have lost their adequacy in the context of the increased complexity of modern networks functioning. As traffic studies have shown these processes can be described more accurately by models of self-similar processes.
The method is proposed for structural and parametric synthesis of the infocommunication network with multiple demands periods taking into account the availability of the self-similarity effect in the information traffic. The effectiveness of the proposed method has been investigated. Comparative analysis of the proposed method with the previously known ones has shown that the developed method allows obtaining a more efficient configuration of the infocommunication network on technical and economic indicators.References
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