DEVELOPING AN ALGORITHM FOR REDUCING RESOURCE CONSUMPTION IN MOBILE APPLICATIONS

Authors

  • Abduvokhobov Abbosbek Andijan State Technical Institute, Department of Information Technologies, Assistant

DOI:

https://doi.org/10.55640/

Keywords:

Mobile applications, resource optimization, algorithm design, energy efficiency, performance improvement, CPU optimization.

Abstract

The rapid growth of mobile technologies has led to a dramatic increase in the use of mobile applications across various domains. However, these applications often face critical challenges related to limited device resources such as CPU power, memory capacity, and battery life. Optimizing resource consumption has therefore become an essential aspect of mobile software engineering. This paper presents a theoretical and analytical study on resource-efficient algorithms for mobile applications. It analyzes existing optimization techniques, identifies their limitations, and proposes a new algorithmic approach designed to minimize energy, memory, and processor usage without compromising performance.

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References

1.Mittal, S., & Vetter, J. S. (2015). A survey of techniques for improving energy efficiency in mobile computing. ACM Computing Surveys, 47(2), 1–36.

2.Liu, Y., Luo, J., & Zhang, H. (2019). Energy-efficient mobile applications: A review. IEEE Access, 7, 106688–106700.

3.Google Developers. (2023). Android performance optimization guide. Retrieved from [developer.android.com].

4.Chen, X., & Qian, F. (2020). Mobile app resource optimization using adaptive control algorithms. Journal of Systems and Software, 168, 110671.

5.Apple Inc. (2024). iOS Energy Efficiency Guide for Developers. Cupertino, CA: Apple Developer Library.

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Published

2025-10-20

Issue

Vol. 4 No. 9 (2025): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

DEVELOPING AN ALGORITHM FOR REDUCING RESOURCE CONSUMPTION IN MOBILE APPLICATIONS. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(9), 697-699. https://doi.org/10.55640/

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