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Medientyp:
E-Artikel
Titel:
Review on Machine Learning for Resource Usage Cost Optimization in Cloud Computing
Beteiligte:
Tanwar, Navdeep;
K V, Dr. Praveen Kumar
Erschienen:
International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2023
Erschienen in:
International Journal for Research in Applied Science and Engineering Technology, 11 (2023) 5, Seite 468-472
Sprache:
Nicht zu entscheiden
DOI:
10.22214/ijraset.2023.51489
ISSN:
2321-9653
Entstehung:
Anmerkungen:
Beschreibung:
Abstract: Small and medium-sized enterprises are increasingly adopting cloud computing, and optimizing the cost of cloud resources has become a crucial concern for them. Although several methods have been proposed to optimize cloud computing resources, these methods mainly focus on a single factor, such as compute power, which may not yield satisfactory results in real-world cloud workloads that are multi-factor, dynamic, and irregular. This paper proposes a new approach that utilizes anomaly detection, machine learning, and particle swarm optimization to achieve a cost-optimal cloud resource configuration.