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SIGCOMM'26: Evolution of AliYANG: Model-driven and LLM-assisted Network Configuration Management
SIGCOMM'26: LEVELLER
SIGCOMM'26: Simplifying Prioritization and Scheduling with P2CS
SIGCOMM'26: Orchestrating Heterogeneous Geo-Distributed Training with Network-Aware Scheduling
SIGCOMM'26: Achieving Network Efficiency with Service Collaborative Capacity Sharing and Enforcement
SIGCOMM'26: Root Cause Analysis for Multi-Vendor Device Failures with LLM-Powered Reasoning
SIGCOMM'26: A Global Inference and Assessment of Large Shared IP Addresses
SIGCOMM'26: Connecting 100K+ GPUs: Building the Communication Stack for Large-Scale LLM Training
SIGCOMM'26: Experiences towards Interpretable Cloud-Scale Root-Causing
SIGCOMM'26: A Disaggregated DPU Architecture for High-Performance and Cost-Efficient AI Clouds
SIGCOMM'26: Critical Path Guided Decision Making with CALLIGATOR
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Last Updated: September 6, 2026
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Summary
... everyone i am Jachi Gal from Alibaba cloud and today I will present ... resource usage of each group cannot go ... some device and test our models otherwise we'll just deal with the modeling stuff Yeah ... distributed across multiple accelerators using hybrid ... straer stage makes pan compute bound load ... planning were operating somewhat disjointly right it is um complex to ... for the most most cases while preserving Authors: Vasileios Giotsas, Loqman Salamatian, Antoine Cordelle, Nick Wood, Marwan Fayed Full paper: ... Um so uh good morning everyone welcome to the AI data center networks and the ... low overhead techniques for security policy generation and micros service
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