A Framework for Governing Generative AI Workloads in Cloud Environments

20260 citationsJournal Article

Authors

Goutham Bandapati · Microsoft (United States)

Srinivasa Rao Atta · Google (United States)

Ananya Ghosh Chowdhury · Microsoft (United States)

Abstract

This article presents a platform-agnostic governance framework with a structured approach to handle the complete lifecycle of generative artificial intelligence workloads on cloud platforms, presenting the framework across five pillars: cost optimization, security, resilience, operational efficiency, and model governance.

Topics & Keywords

Scientific Computing and Data Management Cloud Computing and Resource Management Software System Performance and Reliability

Publication Details

Published in: Computer

Volume 59, Issue 4, pp. 20-29

DOI: 10.1109/mc.2025.3615616

Field-Weighted Citation Impact: 0.00

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A Framework for Governing Generative AI Workloads in Cloud Environments

Authors

Abstract

Topics & Keywords

Publication Details