Predictive FinOps: A Comprehensive Technical Framework for Cloud  Infrastructure Optimization

Dhruvesh Talati

Predictive FinOps: A Comprehensive Technical Framework for Cloud Infrastructure Optimization

Authors

Dhruvesh Talati

Keywords:

Cloud Cost Optimization, Carbon-Aware Scheduling, Machine Learning Forecasting, Multi Objective Optimization, Federated Reinforcement Learning

Abstract

To optimize cloud infrastructure, bringing together financial accountability and environmentalsustainability is needed via advanced forecasting and multi-objective optimization systems. Conventional retrospective billing models are insufficient for the workloads

References

Margaret O'Toole et al., "Updated Carbon Methodology for the AWS Customer Carbon Footprint Tool," AWS, 2025. [Online]. Available: https://aws.amazon.com/blogs/aws-cloud-financial management/updated-carbon-methodology-for-the-aws-customer-carbon-footprint-tool/

Downloads

Published

2026-03-19

How to Cite

Dhruvesh Talati. (2026). Predictive FinOps: A Comprehensive Technical Framework for Cloud Infrastructure Optimization. Journal of Computational Analysis and Applications (JoCAAA), 35(3), 450–462. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5173