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MATHEMATICAL MODELING, NUMERICAL METHODS AND COMPLEX PROGRAMS
The development of a multi-channel mass service system with limited queuing using the parallel library of the .NET platform
P. V. Antonova Kazan National Research Technological University
Abstract:
Modern business and industry are often faced with the need to effectively manage and optimize the processes of servicing the flow of requests. In the light of this need, the paper considers the principles of developing a multi-channel mass service system with limited queueing, implemented on the .NET platform using the C# programming language. Particular attention is paid to high-performance data processing and parallel computing. The article offers architectural solutions for the realization of a multi-channel mass service system and discusses the basic components of the system, including the queue, processing channels and mechanisms for managing applications. The scientific novelty of the presented work lies in the integration of Parallel Framework into the development process of a multi-channel mass service system with limited queueing, which allows to optimize resource allocation and reduce waiting time in the system. The paper presents code examples which demonstrate aspects of multi-threading implementation and the use of competitive collections for efficient queue request management. Opportunities for further development of multi-channel mass-maintenance systems on .NET platform are considered, taking into account constantly changing requirements and technological capabilities.
Keywords:
mass service systems, modeling, constrained queuing, multi-channel systems, C Sharp, NET platform, optimization, software systems, computational methods, competitive collections, parallel programming.
Citation:
P. V. Antonova, “The development of a multi-channel mass service system with limited queuing using the parallel library of the .NET platform”, Comp. nanotechnol., 10:3 (2023), 44–50
Linking options:
https://www.mathnet.ru/eng/cn431 https://www.mathnet.ru/eng/cn/v10/i3/p44
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Abstract page: | 15 | Full-text PDF : | 3 |
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