4 papers
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…
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…
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…