6 papers
NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering
Yingming Mao, Ximeng Liu, Jingyi Cheng +8
In production Wide-Area Networks (WANs), correlated failures dominate availability losses, forcing operators to reserve large safety margins that leave substantial capacity underut…
OPBO: Order-Preserving Bayesian Optimization
Wei Peng, Jianchen Hu, Kang Liu +1
Bayesian optimization is an effective method for solving expensive black-box optimization problems. Most existing methods use Gaussian processes (GP) as the surrogate model for app…
A Fast Solver-Free Algorithm for Traffic Engineering in Large-Scale Data Center Network
Yingming Mao, Qiaozhu Zhai, Ximeng Liu +3
Rapid growth of data center networks (DCNs) poses significant challenges for large-scale traffic engineering (TE). Existing acceleration strategies, which rely on commercial solver…
ATRO: A Fast Algorithm for Topology Engineering of Reconfigurable Datacenter Networks
Yingming Mao, Qiaozhu Zhai, Ximeng Liu +6
Reconfigurable data center networks (DCNs) enhance traditional architectures with optical circuit switches (OCSs), enabling dynamic reconfiguration of inter-pod links, i.e., the lo…
Robust Co-Optimization of Distribution Network Hardening and Mobile Resource Scheduling with Decision-Dependent Uncertainty
Donglai Ma, Xiaoyu Cao, Bo Zeng +4
This paper studies the robust co-planning of proactive network hardening and mobile hydrogen energy resources (MHERs) scheduling, which is to enhance the resilience of power distri…
Proactive Robust Hardening of Resilient Power Distribution Network: Decision-Dependent Uncertainty Modeling and Fast Solution Strategy
Donglai Ma, Xiaoyu Cao, Bo Zeng +4
To address the power system hardening problem, traditional approaches often adopt robust optimization (RO) that considers a fixed set of concerned contingencies, regardless of the…