Carbon-Aware Kubernetes Scheduling with Sustainable GitOps and  Energy-Efficient DevOps for Green Cloud Computing Practices

Hari Krishna Pokala

Carbon-Aware Kubernetes Scheduling with Sustainable GitOps and Energy-Efficient DevOps for Green Cloud Computing Practices

Authors

Hari Krishna Pokala

Keywords:

Green Kubernetes, Carbon-aware Scheduling, DevOps, Machine Learning, Energy Efficiency, Sustainability, Cloud Computing

Abstract

This study introduces Green Kubernetes, aframework that combines carbon-aware scheduling, energy-efficient GitOps and sustainable DevOps tominimize the energy consumed in the cloud andcarbon emissions. Advanced machine learningmethods such as Random Forest,

References

[1] Raptis, T.P., Passarella, A. and Conti, M., 2019. Data management in industry 4.0: State of the art and open challenges. Ieee Access, 7, pp.9705297093.

[2] Baker, T., Al-Dawsari, B., Tawfik, H., Reid, D. and Ngoko, Y., 2015. GreeDi: An energy efficient routing algorithm for big data on cloud. Ad Hoc Networks, 35, pp.83-96.

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Published

2021-06-15

How to Cite

Hari Krishna Pokala. (2021). Carbon-Aware Kubernetes Scheduling with Sustainable GitOps and Energy-Efficient DevOps for Green Cloud Computing Practices. Journal of Computational Analysis and Applications (JoCAAA), 29(6), 1497–1506. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5672