OPTIMIZING MOBILE APP PERFORMANCE THROUGH ADAPTIVE RESOURCE MANAGEMENT

dc.contributor.author	Michael Gevorgyan
dc.date.accessioned	2025-12-28T10:50:21Z
dc.date.issued	2025-09-12
dc.description.abstract	The article discusses methods of adaptive resource management of mobile applications, including dynamic distribution of processor time, memory and network resources. An analysis of existing approaches is conducted, an architecture of an adaptive resource manager is proposed that provides a balance between performance and energy consumption. The experimental results show that the implementation of adaptive algorithms allows reducing the response time of applications by 15-25% and reducing memory consumption by 10-18%.
dc.format	application/pdf
dc.identifier.uri	https://usajournals.org/index.php/2/article/view/907
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/4324
dc.language.iso	eng
dc.publisher	Modern American Journals
dc.relation	https://usajournals.org/index.php/2/article/view/907/980
dc.rights	https://creativecommons.org/licenses/by/4.0
dc.source	Modern American Journal of Engineering, Technology, and Innovation; Vol. 1 No. 6 (2025); 7-14
dc.source	3067-7939
dc.subject	Mobile applications, performance optimization, adaptive resource management, energy consumption, dynamic allocation.
dc.title	OPTIMIZING MOBILE APP PERFORMANCE THROUGH ADAPTIVE RESOURCE MANAGEMENT
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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