Principles of developing a limited-queue mass service system on the .NET platform
// Software systems and computational methods. – 2023. – є 2.
– P. 15-28.
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Abstract: The paper is the result of the thorough research aimed at studying the principles of creation, modeling and practical use of queue-limited mass service systems (MSS) based on the .NET technology platform and implemented using the C# programming language. In the course of the paper, special attention is paid to both single-channel and multi-channel systems. In the introductory part of the article the fundamental concepts of the theory of mass service are considered. The basic characteristics of systems, such as fixed queue length systems, single-channel and multi-channel systems with probability of service failure, systems with unlimited and limited wait times, closed systems, and multi-channel systems with channel-to-channel interaction, are discussed. Detailed examples of C# code are presented to illustrate the class structures used to model both single-channel and multi-channel MSS. Specific scenarios for the use of the presented structures within the framework of MSS modeling are considered. The paper highlights the practical application of mass service systems in solving real-world problems. Using examples from banking and traffic management in telecommunications, it is demonstrated how MSS can contribute to optimizing waiting times and efficient resource management. Prospects for further research in the field of mass service systems are suggested. Given the importance of MSS in various industries such as banking, telecommunications, logistics and many others, the high relevance of the topic is due to the need to find new approaches and methods to improve the efficiency and optimization of these systems. In general, the article is a valuable research material for specialists involved in modeling and practical application of mass service systems.
Keywords: computational techniques, software systems, optimization, NET platform, C Sharp, multichannel systems, single-channel systems, limited queue, modeling, mass service systems
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