GREENOPS IN THE CLOUD: AN AI-DRIVEN TELEMETRY  ANALYSIS MODEL FOR REDUCING CARBON FOOTPRINT IN  HIGH-AVAILABILITY CLUSTERS

Manoj Kumar Kagitha

GREENOPS IN THE CLOUD: AN AI-DRIVEN TELEMETRY ANALYSIS MODEL FOR REDUCING CARBON FOOTPRINT IN HIGH-AVAILABILITY CLUSTERS

Authors

Manoj Kumar Kagitha

Keywords:

GreenOps, carbon footprint reduction, cloud sustainability, AI-driven optimization, telemetry analysis, high-availability clusters, energy efficiency, Kubernetes, carbon-aware computing

Abstract

The environmental impact of cloud computing infrastructures has captured serious thoughtswith data centers accounting for a snapshot of approximately 2-3% of global electricityconsumption contributing largely to the emission of carbon. These are interesting findings, and
you end up with reduced resource needs

References

Burns, B., Grant, B., Oppenheimer, D., Brewer, E. and Wilkes, J. (2016) 'Borg, Omega, and Kubernetes: Lessons learned from three container-management systems over a decade', ACM Queue, 14(1), pp. 70-93.

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Published

2020-06-20

How to Cite

Manoj Kumar Kagitha. (2020). GREENOPS IN THE CLOUD: AN AI-DRIVEN TELEMETRY ANALYSIS MODEL FOR REDUCING CARBON FOOTPRINT IN HIGH-AVAILABILITY CLUSTERS . Journal of Computational Analysis and Applications (JoCAAA), 28(6), 140–162. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5054