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www.T-Science.org       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

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ISJ Theoretical & Applied Science 08(148) 2025

Philadelphia, USA

* Scientific Article * Impact Factor 6.630


Nuzhdin, D.

Architectural patterns and performance optimization in mobile applications: implementing scalable solutions on iOS under high user load.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-08-148-1

DOI: https://dx.doi.org/10.15863/TAS.2025.08.148.1

Language: English

Citation: Nuzhdin, D. (2025). Architectural patterns and performance optimization in mobile applications: implementing scalable solutions on iOS under high user load. ISJ Theoretical & Applied Science, 08 (148), 1-6. Soi: https://s-o-i.org/1.1/TAS-08-148-1 Doi: https://dx.doi.org/10.15863/TAS.2025.08.148.1

Pages: 1-6

Published: 30.08.2025

Abstract: This article examines a set of architectural patterns and technical solutions aimed at building scalable and high-performance iOS applications under conditions of intensive user activity. It analyzes the application of MVVM, VIPER, and Clean Architecture in terms of modularity, testability, and resilience under increasing load. Particular attention is given to optimization practices, including asynchronous processing, caching, profiling, and adaptive user interface techniques. The importance of integrating architectural approaches with engineering performance measures is emphasized as a foundation for the technological maturity of mobile products. Industry examples illustrate the applicability of these strategies in real-world high-load systems.

Key words: iOS, scalability, architecture, performance, MVVM, VIPER, optimization.


 

 

 

 

 

 

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