doi: 10.17586/2226-1494-2016-16-6-1120-1127


T. M. Tatarnikova, M. A. Elizarov

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For citation: Tatarnikova T.M., Elizarov M.A. Virtual channel simulation model. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2016, vol. 16, no. 6, pp. 1120–1127. doi: 10.17586/2226-1494-2016-16-6-1120-1127


Subject of Research. We proposea computational tool to evaluate the probability-time characteristics of info-communication network as the quality indicators in the selection of effective design solutions. For the assessment of probability-time characteristics of info-communications networks we use simulation that makes provision for the dynamic and stochastic aspects of their functioning.We recommend an approach to reduce simulation model dimensionality based on the decomposition of info-communication network into sets of virtualchannels. Methods. Topologically complete info-communication network is a virtual channel model that connects the source and destination, and the probability equivalent of not considered network part is represented as a generator of external flows for taking into account the interaction peculiarities of considered virtual channel flow with flows of other routes. One and the same virtual channel model for representation of different segments of info-communication network differs only in parameters. Main Results. It is shown that the object approach application gives the possibility to build structures and variations of the virtual channel parameters corresponding to real segments of info-communication network. Convergence of the analytical modeling results and simulation is demonstrated. Thus, the use of the virtual channel simulation model as a computational tool is possible to evaluate the probability-time characteristics of the info-communications network. Practical Relevance. Virtual channel model can be useful as a tool for planning and forecasting of computing resources indicators of the info-communication network quality.

Keywords: virtual channel, virtual channel simulation model, model dimension reducing, info-communication network decomposition, info-communication network probability-time characteristics


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