collaborators

6 papers

cs.DC2025

Balancing Fixed Number of Nodes Among Multiple Fixed Clusters

Paritosh Ranjan, Surajit Majumder, Prodip Roy +1

Cloud infrastructure users often allocate a fixed number of nodes to individual container clusters (e.g., Kubernetes, OpenShift), resulting in underutilization of computing resourc…

cs.SD2025

Generative Voice Bursts during Phone Call

Paritosh Ranjan, Surajit Majumder, Prodip Roy

In critical situations, conventional mobile telephony fails to convey emergency voice messages to a callee already engaged in another call. The standard call waiting alert does not…

cs.DC2025

Distributedness based scheduling

Paritosh Ranjan, Surajit Majumder, Prodip Roy +1

Efficient utilization of computing resources in a Kubernetes cluster is often constrained by the uneven distribution of pods with similar usage patterns. This paper presents a nove…

cs.LG2025

Multi Part Deployment of Neural Network

Paritosh Ranjan, Surajit Majumder, Prodip Roy

The increasing scale of modern neural networks, exemplified by architectures from IBM (530 billion neurons) and Google (500 billion parameters), presents significant challenges in…

cs.LG2025

Airborne Neural Network

Paritosh Ranjan, Surajit Majumder, Prodip Roy

Deep Learning, driven by neural networks, has led to groundbreaking advancements in Artificial Intelligence by enabling systems to learn and adapt like the human brain. These model…

cs.NE2025

Switch-Based Multi-Part Neural Network

Surajit Majumder, Paritosh Ranjan, Prodip Roy +1

This paper introduces decentralized and modular neural network framework designed to enhance the scalability, interpretability, and performance of artificial intelligence (AI) syst…