Алгоритмы обработки данных в контролируемых аккаунтах системы видеоконференцсвязи

Abstract

Purpose: Analyzing algorithms of data processing in supervised accounts of a videoconferencing system; estimating their complexity; evaluation of how introducing a new module into the application affects its performance. Results: The analysis of algorithm complexity and the estimation of the number of new features and graphic interfaces required for introducing an additional module into a peering videoconferencing application have shown that the new module only negligibly affects the overall application performance. Such an effect was achieved due to the linear complexity of the implemented algorithms which consume a small amount of CPU and RAM resources as compared to the functioning of other parts of the application. Practical relevance: The module of supervised accounts and its data processing algorithms make it possible to extend the possibilities of the videoconferencing application. The linear complexity of the data processing algorithms provides high performance of the module, which has a positive effect on the application overall. The data processing algorithms are based on the existing videoconferencing application algorithms, or just copy them. This provides simple integration of the module into the application architecture, and facilitates the task of software development.