3 papers
cs.CR2026
Secure AI-Driven Super-Resolution for Real-Time Mixed Reality Applications
Mohammad Waquas Usmani, Sankalpa Timilsina, Michael Zink +1
Immersive formats such as 360° and 6DoF point cloud videos require high bandwidth and low latency, posing challenges for real-time AR/VR streaming. This work focuses on reducing b…
cs.DC2025
Learning to Schedule: A Supervised Learning Framework for Network-Aware Scheduling of Data-Intensive Workloads
Sankalpa Timilsina, Susmit Shannigrahi
Distributed cloud environments hosting data-intensive applications often experience slowdowns due to network congestion, asymmetric bandwidth, and inter-node data shuffling. These…
cs.DC2025
LIDC: A Location Independent Multi-Cluster Computing Framework for Data Intensive Science
Sankalpa Timilsina, Susmit Shannigrahi
Scientific communities are increasingly using geographically distributed computing platforms. The current methods of compute placement predominantly use logically centralized contr…