2 papers
cs.SE2025
An SLO Driven and Cost-Aware Autoscaling Framework for Kubernetes
Vinoth Punniyamoorthy, Bikesh Kumar, Sumit Saha +4
Kubernetes provides native autoscaling mechanisms, including the Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and node-level autoscalers, to enable elastic resource manageme…
cs.LG2025
A Privacy-Preserving Cloud Architecture for Distributed Machine Learning at Scale
Vinoth Punniyamoorthy, Ashok Gadi Parthi, Mayilsamy Palanigounder +3
Distributed machine learning systems require strong privacy guarantees, verifiable compliance, and scalable deployment across heterogeneous and multi-cloud environments. This work…