Optimizing Power Consumption in Cloud Data Centres Using Machine Learning and Deep Learning Techniques

Authors

  • Sunil Kumar Sahu,Sanjit Kumar Acharya,Sanat Kumar, Dr Gunamani Jena

Keywords:

Cloud, ML, DL,RL

Abstract

This study employs advanced machine learning and optimization techniques to reduce powerconsumption in cloud data centres. Key methods include Isolation Forest for anomaly detection,K-Means for clustering workloads

References

Beloglazov, A., Buyya, R., Lee, Y. C., & Zomaya, A. (2012). Energy-efficient resource allocation algorithms for cloud computing environments. Future Generation Computer Systems, 28(5), 755-768.

Shehabi, A., Smith, S., Masanet, E., & Koomey, J. (2016). Data centre growth in the global information technology sector. Environmental Research Letters, 11(7), 074022.

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Published

2024-12-10

How to Cite

Sunil Kumar Sahu,Sanjit Kumar Acharya,Sanat Kumar, Dr Gunamani Jena. (2024). Optimizing Power Consumption in Cloud Data Centres Using Machine Learning and Deep Learning Techniques . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 4426–4441. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2853

Issue

Section

Articles