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cs.DC2025
EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training
Hasibul Jamil, MD S Q Zulkar Nine, Tevfik Kosar
Large-scale deep learning workloads increasingly suffer from I/O bottlenecks as datasets grow beyond local storage capacities and GPU compute outpaces network and disk latencies. W…
cs.DC2025
Carbon-Aware Temporal Data Transfer Scheduling Across Cloud Datacenters
Elvis Rodrigues, Jacob Goldverg, Tevfik Kosar
Inter-datacenter communication is a significant part of cloud operations and produces a substantial amount of carbon emissions for cloud data centers, where the environmental impac…
cs.DC2025
Energy-Efficient and High-Performance Data Transfers with DRL Agents
Hasibul Jamil, Jacob Goldverg, Elvis Rodrigues +2
The rapid growth of data across fields of science and industry has increased the need to improve the performance of end-to-end data transfers while using the resources more efficie…