Keywords: infocommunication network, priority ways of information transfer, network throughpu, maximum flow, branch and bound scheme, program complex
Substantiation of the composition of the program complex of optimization and research of efficiency of choice of options for infocommunication networks modernization
UDC 004.67
DOI: 10.26102/2310-6018/2020.28.1.029
In modern conditions, quite often there is a need to adjust the requirements for the transmission and receipt of data by various organizations. In this regard, organizations periodically need to modernize their own infocommunication networks or change the conditions for the use of public networks segments. The allocation of resources for the replacement of equipment in a planned mode (equipment replacement due to wear and tear, obsolescence, maintenance, etc.) is well understood, therefore, it is not considered in the work. In previous works, models were developed for choosing the best option for upgrading the infocommunication network for various modernization purposes, a numerical method and an algorithm for optimizing the choice of network modernization options based on the use of the branch and bound scheme, including methods for constructing a partial solution tree, estimating partial solutions, and traversing of partial solutions tree. This work presents the structural diagrams of the program complex for two operating modes: a decision support mode for modernization infocommunication networks of organizations and a decision process simulation mode in the interest of identifying the dependencies of improving network efficiency on possible modernization options.
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Keywords: infocommunication network, priority ways of information transfer, network throughpu, maximum flow, branch and bound scheme, program complex
For citation: Zvereva D.D., Menshikh V.V. Substantiation of the composition of the program complex of optimization and research of efficiency of choice of options for infocommunication networks modernization. Modeling, Optimization and Information Technology. 2020;8(1). URL: https://moit.vivt.ru/wp-content/uploads/2020/02/ZverevaMenshikh_1_20_1.pdf DOI: 10.26102/2310-6018/2020.28.1.029 (In Russ).
Published 31.03.2020