250 citations · 263 across the 6 of their papers we have counts for
6 papers · 1 filter
Capturing Electrical Windows Through Reconfigurable Optical Networks: Transfer-aware Scheduling of Multi-Region AI Data Centers
Xi Tong, Zijian Li, Xiaoyi Fan +3
Artificial-intelligence data centers (AIDCs) can provide spatiotemporal load flexibility by migrating training workloads in response to regional electricity prices and renewable-en…
Execution-Feasible Dispatch of LLM Pre-training Loads for Renewable-Dominant AI Data Centers
Xi Tong, Ershun Du, Haiyang Jiang +2
AI data centers (AIDCs) are emerging as large power-system loads, making their operational flexibility increasingly valuable. Existing studies often treat AIDC demand as continuous…
Spatial LLM Workload Shifting Needs Foresight: Model Commitment for AI Data Center Operation under Power Grid Constraints
Bojun Du, Hongyang Jia, Tonghui Li +4
AI data centers may face power supply shortages during certain periods, requiring operators to shift large language model (LLM) inference workloads spatially to maintain service ra…
Efficient Scheduling of Discrete Industrial Processes Through Continuous Modeling
Ruike Lyu, Xiangbo Su, Ershun Du +3
The resource-task network (RTN) model has been widely applied to represent the technical constraints of complex industrial processes (IPs) such as steel-making, providing the basis…
From Tokens to Energy Flexibility: Quantization-Enabled Demand Response for Data Centers with LLM Inference Workloads
Bojun Du, Xiaoyi Fan, Ershun Du +5
The rapid growth of large language model (LLM) inference is creating significant data-center loads that face increasing energy-management challenges under tightening grid condition…
Renewables Power the Orbit? Achieving Sustainable Space Edge Computing via QoS-Aware Offloading
Xiaoyi Fan, Yi Ching Chou, Hao Fang +6
Low-Earth-Orbit (LEO) satellite constellations are becoming integral to 6G infrastructure, but increasing in-orbit computation accelerates battery degradation and raises sustainabi…