Библиографическое описание:Model for Optimizing the Structure of a Multi-Version Software Under Resource Requirements and Timing Constraints : доклад, тезисы доклада / I. Kovalev, D. Kovalev, A. Voroshilova [et al.]. - [S. l. : s. n.], 2025. - Текст : непосредственный // Lecture Notes in Networks and Systems : Advances in Interdisciplinary Approaches for Complex Problem Solving. - Krasnoyarsk, 2025. - P. 605-619. - The research was carried out at the expense of the Russian Science Foundation grant No. 25-11-20040, https://rscf.ru/en/project/25-11-20040/, a grant from the Krasnoyarsk Regional Fund of Science and Technology Support. - DOI 10.1007/978-3-031-95649-2_53.
Аннотация:This article presents a mathematical optimization model for the structure of multi-version software, taking into account complex constraints on resources, execution time, and cost. Existing approaches to forming multi-version software often use simplified models of resource constraints and require known maintenance intervals for each task, which does not correspond to real operating conditions of software complexes. The work proposes a two-level structural model of the software complex, which allows simplifying the process of visual design and converting it into a single-level one for algorithmic processing. A detailed formalization of the problem has been developed, including matrices of task and module connectivity, vectors of sequence and sequence paths, as well as vectors of temporal deployment for modules and resources. The proposed resource usage model considers three types of resources: active (computational), passive (information storage), and transport (data transmission), which allows for more accurate modeling of real software operation conditions. An optimization criterion is formulated as maximizing the reliability of the software complex, taking into account time, resource, and cost constraints. The developed model provides a theoretical basis for building effective algorithms for optimizing the version composition of multi-version software.
Держатель оригинала документа:Krasnoyarsk State Agrarian University, National Research University “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers”, Navoi State University of Mining and Technology, Reshetnev State University of Science and Technology, Siberian Federal University
Мероприятие:Hybrid Methods of Modeling and Optimization in Complex Systems (Krasnoyarsk, 2024 ; 02.12 - 04.12)
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