Dynamic Algorithm for Load Distribution Between Computing Resources of Cloud Environments

The article considers the development of a dynamic algorithm for distributing and balancing the load, characterized by nonlinear parameters and fractal structure, between the computing resources of cloud data centers (DCs). A rationale is given for the application of methods of nonlinear dynamics an...

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Главные авторы:	Mochalov, V. P., Мочалов, В. П., Bratchenko, N. Y., Братченко, Н. Ю., Gosteva, D. V., Гостева, Д. В.
Формат:	Статья
Язык:	English
Опубликовано:	Institute of Electrical and Electronics Engineers Inc. 2025
Темы:	Forecast Nonlinear dynamics Local approximation Load distribution
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/30650
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id	ir-123456789-30650
record_format	dspace
spelling	ir-123456789-306502025-07-02T08:29:22Z Dynamic Algorithm for Load Distribution Between Computing Resources of Cloud Environments Mochalov, V. P. Мочалов, В. П. Bratchenko, N. Y. Братченко, Н. Ю. Gosteva, D. V. Гостева, Д. В. Forecast Nonlinear dynamics Local approximation Load distribution The article considers the development of a dynamic algorithm for distributing and balancing the load, characterized by nonlinear parameters and fractal structure, between the computing resources of cloud data centers (DCs). A rationale is given for the application of methods of nonlinear dynamics and chaos theory to solving this problem, which is based on the topological similarity of the behavior of deterministic chaotic systems and the input network load of the data center. The load randomness test was conducted by calculating Lyapunov indices. To eliminate noise components of network traffic, the principal component method of its time series was applied. The problem of phase space reconstruction is solved by the delay method based on the embedding theorem and the average mutual information method. Based on this reconstruction, a method for predicting the load dynamics was developed. It was presented in the form of a system of discrete mappings connected by an algebraic polynomial, providing successful prediction of irregular time series and forming the basis for constructing a matrix for distributing data center resources. The aim of the article is to increase the efficiency of using the resources of data center cluster servers in conditions of a fractal structure of the network load by developing a dynamic algorithm for its distribution and balancing based on nonlinear dynamics methods. 2025-07-02T08:28:13Z 2025-07-02T08:28:13Z 2025 Статья Mochalov V.P., Bratchenko N.Y., Gosteva D.V. Dynamic Algorithm for Load Distribution Between Computing Resources of Cloud Environments // Proceedings - 2025 International Russian Smart Industry Conference, SmartIndustryCon 2025. - 2025. - pp. 1136 - 1140. - DOI: 10.1109/SmartIndustryCon65166.2025.10986176 https://dspace.ncfu.ru/handle/123456789/30650 en Proceedings - 2025 International Russian Smart Industry Conference, SmartIndustryCon 2025 application/pdf Institute of Electrical and Electronics Engineers Inc.
institution	СКФУ
collection	Репозиторий
language	English
topic	Forecast Nonlinear dynamics Local approximation Load distribution
spellingShingle	Forecast Nonlinear dynamics Local approximation Load distribution Mochalov, V. P. Мочалов, В. П. Bratchenko, N. Y. Братченко, Н. Ю. Gosteva, D. V. Гостева, Д. В. Dynamic Algorithm for Load Distribution Between Computing Resources of Cloud Environments
description	The article considers the development of a dynamic algorithm for distributing and balancing the load, characterized by nonlinear parameters and fractal structure, between the computing resources of cloud data centers (DCs). A rationale is given for the application of methods of nonlinear dynamics and chaos theory to solving this problem, which is based on the topological similarity of the behavior of deterministic chaotic systems and the input network load of the data center. The load randomness test was conducted by calculating Lyapunov indices. To eliminate noise components of network traffic, the principal component method of its time series was applied. The problem of phase space reconstruction is solved by the delay method based on the embedding theorem and the average mutual information method. Based on this reconstruction, a method for predicting the load dynamics was developed. It was presented in the form of a system of discrete mappings connected by an algebraic polynomial, providing successful prediction of irregular time series and forming the basis for constructing a matrix for distributing data center resources. The aim of the article is to increase the efficiency of using the resources of data center cluster servers in conditions of a fractal structure of the network load by developing a dynamic algorithm for its distribution and balancing based on nonlinear dynamics methods.
format	Статья
author	Mochalov, V. P. Мочалов, В. П. Bratchenko, N. Y. Братченко, Н. Ю. Gosteva, D. V. Гостева, Д. В.
author_facet	Mochalov, V. P. Мочалов, В. П. Bratchenko, N. Y. Братченко, Н. Ю. Gosteva, D. V. Гостева, Д. В.
author_sort	Mochalov, V. P.
title	Dynamic Algorithm for Load Distribution Between Computing Resources of Cloud Environments
title_short	Dynamic Algorithm for Load Distribution Between Computing Resources of Cloud Environments
title_full	Dynamic Algorithm for Load Distribution Between Computing Resources of Cloud Environments
title_fullStr	Dynamic Algorithm for Load Distribution Between Computing Resources of Cloud Environments
title_full_unstemmed	Dynamic Algorithm for Load Distribution Between Computing Resources of Cloud Environments
title_sort	dynamic algorithm for load distribution between computing resources of cloud environments
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2025
url	https://dspace.ncfu.ru/handle/123456789/30650
work_keys_str_mv	AT mochalovvp dynamicalgorithmforloaddistributionbetweencomputingresourcesofcloudenvironments AT močalovvp dynamicalgorithmforloaddistributionbetweencomputingresourcesofcloudenvironments AT bratchenkony dynamicalgorithmforloaddistributionbetweencomputingresourcesofcloudenvironments AT bratčenkonû dynamicalgorithmforloaddistributionbetweencomputingresourcesofcloudenvironments AT gostevadv dynamicalgorithmforloaddistributionbetweencomputingresourcesofcloudenvironments AT gostevadv dynamicalgorithmforloaddistributionbetweencomputingresourcesofcloudenvironments
_version_	1842245736305000448

Dynamic Algorithm for Load Distribution Between Computing Resources of Cloud Environments

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