8 papers
ABE-VVS: Attribute-Based Encrypted Volumetric Video Streaming
Mohammad Waquas Usmani, Susmit Shannigrahi, Michael Zink
This work introduces ABE-VVS, a framework that performs attribute based selective coordinate encryption for point cloud based volumetric video streaming, enabling lightweight yet e…
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…
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…
PSMOA: Policy Support Multi-Objective Optimization Algorithm for Decentralized Data Replication
Xi Wang, Susmit Shannigrahi
Efficient data replication in decentralized storage systems must account for diverse policies, especially in multi-organizational, data-intensive environments. This work proposes P…
MDTP -- An Adaptive Multi-Source Data Transfer Protocol
Sepideh Abdollah, Craig Partridge, Susmit Shannigrahi
Scientific data volume is growing in size, and as a direct result, the need for faster transfers is also increasing. The scientific community has sought to leverage parallel transf…