3 citations · 3 across the 4 of their papers we have counts for
4 papers
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 ba…
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…
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…
NDN-TR70 -- Utilizing NDN-DPDK for Kubernetes Genomics Data Lake
Sankalpa Timilsina, Justin Presley, David Reddick +1
As the growth of genomics samples rapidly expands due to increased access to high resolution DNA sequencing technology, the need for a scalable platform to aggregate dispersed data…