Anycast Performance in Context

This collection of networking and ML papers covers operational and research advances across IP anycast performance (DNS vs CDN tradeoffs), AI-driven radio resource management (Prompt Decision Transformer for CoMP and multi-task RRM), O-RAN management and energy-efficiency (BeGREEN, cell on/off LSTM strategy), cross-technology RAN orchestration and multi-tenancy (COSMO), encrypted-traffic analysis with a semantic-preserving hierarchical graph MoE (PTGAMoE), intent-based networking validation and intent-drift detection using low-level flow telemetry, high-performance one-sided communication over