most citedCognitive Platform Engineering for Autonomous Cloud Operations

5 citations · 9 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DC2026

Optimizing API Gateway Placement in Multi-Cloud Kubernetes

Vinoth Punniyamoorthy, Murali Shankar Dulam, Aswathnarayan Muthukrishnan Kirubakaran +5

The use of API gateways within geographically distributed multi-cloud Kubernetes clusters poses a tradeoff between infrastructure cost, computational resources, and network latenci…

cs.LG2026

Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration

Adithya Parthasarathy, Aswathnarayan Muthukrishnan Kirubakaran, Akshay Deshpande +5

Accurate calibration is essential for instruments whose measurements must remain traceable, reliable, and compliant over long operating periods. Fixed-interval programs are easy to…

cs.IR2026

Scalable Sequential Recommendation under Latency and Memory Constraints

Adithya Parthasarathy, Aswathnarayan Muthukrishnan Kirubakaran, Vinoth Punniyamoorthy +5

Sequential recommender systems must model long-range user behavior while operating under strict memory and latency constraints. Transformer-based approaches achieve strong accuracy…

cs.DC2026★ 4 cited

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…

cs.AI2026★ 5 cited

Cognitive Platform Engineering for Autonomous Cloud Operations

Vinoth Punniyamoorthy, Nitin Saksena, Srivenkateswara Reddy Sankiti +4

Modern DevOps practices have accelerated software delivery through automation, CI/CD pipelines, and observability tooling,but these approaches struggle to keep pace with the scale…

cs.DC2025

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…

cs.CR2025

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…

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…