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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…