5 papers
Push Down Optimization for Distributed Multi Cloud Data Integration
Ravi Kiran Kodali, Vinoth Punniyamoorthy, Akash Kumar Agarwal +5
Enterprises increasingly adopt multi cloud architectures to take advantage of diverse database engines, regional availability, and cost models. In these environments, ETL pipelines…
AI-Driven Cloud Resource Optimization for Multi-Cluster Environments
Vinoth Punniyamoorthy, Akash Kumar Agarwal, Bikesh Kumar +3
Modern cloud-native systems increasingly rely on multi-cluster deployments to support scalability, resilience, and geographic distribution. However, existing resource management ap…
Secure and Governed API Gateway Architectures for Multi-Cluster Cloud Environments
Vinoth Punniyamoorthy, Kabilan Kannan, Akshay Deshpande +5
API gateways serve as critical enforcement points for security, governance, and traffic management in cloud-native systems. As organizations increasingly adopt multi-cluster and hy…
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…
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…