4 citations · 7 across the 13 of their papers we have counts for
12 papers
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…
Securing Immersive 360 Video Streams through Attribute-Based Selective Encryption
Mohammad Waquas Usmani, Susmit Shannigrahi, Michael Zink
Delivering high-quality, secure 360° video content introduces unique challenges, primarily due to the high bitrates and interactive demands of immersive media. Traditional HTTPS-ba…
Hydra -- A Federated Data Repository over NDN
Justin Presley, Xi Wang, Tym Brandel +8
Today's big data science communities manage their data publication and replication at the application layer. These communities utilize myriad mechanisms to publish, discover, and r…