Resource Management in Cloud Data Centers Based on Optimisation of Average Utilisation

Cloud computing enables the delivery of computing services through the Internet, allowing access to resources on demand from any device and location.Efficient resource management in cloud data centres, including CPU, RAM, storage and bandwidth, is crucial for maximising utilisation and reducing costs.This paper proposes a novel resource management model optimised using a genetic algorithm, focusing on average utilisation of resources.Two approaches are evaluated: one adjusts the number of physical and virtual machines, while the other varies the probability of selecting virtual machine requests.By implementing this model, the research aims to enhance operational efficiency and service quality, demonstrating practical applications of metaheuristic algorithms in real-world cloud computing environments.

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Publication Details

Journal
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH
Published
2024-12-19
DOI
https://doi.org/10.24818/18423264/58.4.24.19
Primary Topic
Cybersecurity and Information Systems
Type
article
Field-Weighted Citation Impact
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article

Resource Management in Cloud Data Centers Based on Optimisation of Average Utilisation

Mladenka Blagojević, MATIJAŠEVIĆ Nikola, ĐOGATOVIĆ Marko
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH
Cybersecurity and Information Systems
article

Resource Management in Cloud Data Centers Based on Optimisation of Average Utilisation

Mladenka Blagojević, MATIJAŠEVIĆ Nikola, ĐOGATOVIĆ Marko
article en

Abstract

Cloud computing enables the delivery of computing services through the Internet, allowing access to resources on demand from any device and location.Efficient resource management in cloud data centres, including CPU, RAM, storage and bandwidth, is crucial for maximising utilisation and reducing costs.This paper proposes a novel resource management model optimised using a genetic algorithm, focusing on average utilisation of resources.Two approaches are evaluated: one adjusts the number of physical and virtual machines, while the other varies the probability of selecting virtual machine requests.By implementing this model, the research aims to enhance operational efficiency and service quality, demonstrating practical applications of metaheuristic algorithms in real-world cloud computing environments.

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCHVol. 58(4/2024)
Decent work and economic growth
Openalex Percentile: Top 73%
Cybersecurity and Information Systems
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