Advanced Optical Network Technologies

Últimos artículos

• SLA-Constrained Carbon-Aware Routing in Geo-Distributed Serverless Clouds

  Anmol Chaudhary (Department of Electronics,Computer Engineering, NIAMT Ranchi), Rahul Mishra (Department of Electronics,Computer Engineering, NIAMT Ranchi) · 28 de julio de 2026

  Modern cloud deployments distribute applications across multiple geographic regions, yet standard routing mechanisms prioritize latency while ignoring the fluctuating carbon intensity of local power grids. Latency-driven routing incurs avoidable carbon emissions, particularly when cleaner regions ar…

• Cross-Domain Generalization in Optical Networks via Joint Contrastive and Classification Learning

  Ali Al Housseini, Carlos Natalino, Paolo Monti, Omran Ayoub · 24 de julio de 2026

  The robustness of machine learning techniques across heterogeneous network domains remains an open challenge in optical networks. Models trained on data from a specific topology or operational configuration often exhibit degraded performance when deployed in unseen networks. In this work, we address…

• UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing

  Xinming Wei, Chao Jin, Tuo Dai, Yinmin Zhong, Shan Yu, Chengxu Yang, Bingyang Wu, Zili Zhang, Jing Mai, Qianchao Zhu, Zhouyang Li, Yuliang Liu, Guojie Luo · 4 de junio de 2026

  Large-scale expert parallelism (EP) is becoming pivotal for training and serving frontier MoE models, but it also amplifies device-level expert load imbalance into compute stragglers, token all-to-all bottlenecks, and activation-memory spikes. Existing balancers redistribute experts periodically bas…

• Robust Optimization Approach and Learning Based Hide-and-Seek Game for Resilient Network Design

  Mohammad Khosravi, Setareh Maghsudi · 13 de febrero de 2026

  We study the design of resilient and reliable communication networks in which a signal can be transferred only up to a limited distance before its quality falls below an acceptable threshold. When excessive signal degradation occurs, regeneration is required through regenerators installed at selecte…

• Enabling Reconfiguration-Communication Overlap for Collective Communication in Optical Networks

  Changbo Wu, Zhuolong Yu, Gongming Zhao, Hongli Xu · 6 de enero de 2026

  Collective communication (CC) is critical for scaling distributed machine learning (DML). The predictable traffic patterns of DML present a great oppotunity for applying optical network technologies. Optical networks with reconfigurable topologies promise high bandwidth and low latency for collectiv…

• CBA: Communication-Bound-Aware Cross-Domain Resource Assignment for Pipeline-Parallel Distributed LLM Training in Dynamic Multi-DC Optical Networks

  Dianxuan Fu, Xiaomin Liu, Yihao Zhang, Shikui Shen, Weisheng Hu, Qunbi Zhuge · 24 de diciembre de 2025

  We propose a communication-bound-aware cross-domain resource assignment framework for pipeline-parallel distributed training over multi-datacenter optical networks, which lowers iteration time by 31.25% and reduces 13.20% blocking requests compared to baselines.…

• Networks with Finite VC Dimension: Pro and Contra

  Vera Kurkova, Marcello Sanguineti · 18 de noviembre de 2025

  Approximation and learning of classifiers of large data sets by neural networks in terms of high-dimensional geometry and statistical learning theory are investigated. The influence of the VC dimension of sets of input-output functions of networks on approximation capabilities is compared with its i…