PROBLEMS OF THE SYNTHESIS OF NETWORK EQUIPMENT MODELS AND METHODS OF THEIR SOLUTION

DOI: 10.31673/2412-4338.2023.049510

Abstract

The research examines the problems of the development of software-configured networks (PSNs) and focuses on hybrid software-configured equipment (PKO). The relevance of the research is emphasized in the context of modern requirements for network technologies and certain difficulties in modeling such devices. A comparative analysis of simulation modeling tools of computer networks was carried out, the advantages and disadvantages of various solutions were determined. We chose to use OMNeT++ to implement a simulation-analytical model of hybrid software-configurable hardware due to its open source, modular architecture, and available documentation. The work describes and defines the problems of synthesis of network equipment models, taking into account the differences in the architecture and configuration of hybrid software-configured devices. It is noted that many existing modeling systems do not have ready-made models that adequately reflect the probabilistic-temporal characteristics of the internal processes of these devices. The purpose of the research is given, which consists in the development of methods and algorithms for the automated synthesis of a simulation-analytical model of hybrid software-configured equipment for the study of packet delay in telecommunication networks. Five tasks are set, including the development of a model, methods and algorithms for automated experimental research and model synthesis. The choice of OMNeT++ is determined by its characteristics, and the model synthesis process itself is defined as a complex task that takes into account the configurational diversity of the equipment. A review of the main publications highlighting the problems of the development of software-configurable devices is carried out, and the expediency of using simulation modeling for the study of hybrid software-configurable devices, as well as challenges and prospects for further research, is indicated.

Key words: hybrid software-configured equipment, simulation-analytical model, probabilistic-time characteristics, software-hardware complex.

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