Development of a Training Software System for Studying Distributed Algorithms

Student: Shinkarenko Ekaterina

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2021

This paper is devoted to the development of a training software system for learning distributed algorithms for termination detection using agent-based modeling. Six most well-known algorithms with specific application criteria and based on different mechanisms are considered in the paper. The process of termination detection for different graph architectures using this class of algorithms is shown in detail, as well as the modeling of algorithms reflected in flowcharts. The paper should be of interest to people who want to learn distributed termination detection algorithms as part of their curriculum or to enhance their knowledge in a professional context. Number of pages of main text: 46. Number of illustrations: 28. Number of appendices: 2. 2020.

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