ASSESSMENT MODELS OF STRUCTURAL SURVIVAL AND RELIABILITY OF COMPUTER NETWORKS

Abstract

The authors considered the issues of defining and evaluating the most important characteristics of computer networks, namely, structural survivability and reliability. The relevance of the research topic is noted in connection with the intensive development of cloud computing and open data and online services over the last decade. The modern trends in the development of computer technology, the processes of network convergence, the transition to new generation networks and the urgent challenges of wartime are noted, which make it necessary to model the reliability assessment and increase the survivability of modern computer networks, taking into account the directions of their development. The work provides the methodology and examples of calculating the value of the reliability indicator of communication in networks, which is calculated depending on the network structure. Modeling of assessment of structural survivability and reliability of communication in the network between nodes was carried out. Structural survivability is considered as the possibilities of reconstruction, reorganization, which will make it possible to create a structure that ensures the reliable functioning of a computer network. The authors proposed rules and formulas for calculating reliability index values for various options for connecting network elements. The calculation of the survivability of a computer network of a certain structure is given. For the quantitative assessment of network survivability, a survivability index is introduced, and an expression for its calculation is given. The survivability index of a network of a certain structure with a one-time impact is determined. Some recommendations are provided for increasing the structural survivability and reliability of computer networks after evaluating these characteristics. The obtained results of determining some indicators and characteristics of networks can be used in further research with the aim of making optimal decisions to increase the structural survivability and reliability of computer networks.