PROACTIVE RESOURCE MANAGEMENT IN A KUBERNETES CLUSTER USING AI-BASED RESOURCE USAGE PREDICTION IN THE CLOUD ENVIRONMENT
DOI:
https://doi.org/10.30890/2709-2313.2024-34-00-015Ключові слова:
Kubernetes, proactive resource management, artificial intelligence, Prophet, LSTM, HPA, VPA, time series, cloud computing, load forecasting.Анотація
The paper considers proactive resource management in a Kubernetes cluster using artificial intelligence methods, in particular, Prophet and LSTM algorithms. The relevance of the study is due to the shortcomings of traditional resource management mechanismMetrics
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Опубліковано
2024-11-30
Як цитувати
Толбатов, А., Лозова, І., Толбатова, О., Кукулевський, І., & Сокирка, І. (2024). PROACTIVE RESOURCE MANAGEMENT IN A KUBERNETES CLUSTER USING AI-BASED RESOURCE USAGE PREDICTION IN THE CLOUD ENVIRONMENT. European Science, 2(sge34-02), 43–53. https://doi.org/10.30890/2709-2313.2024-34-00-015
Ліцензія
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Ця робота ліцензується відповідно до Creative Commons Attribution 4.0 International License.
