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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Hyungjun Kim

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Conference Jul 2026

AnchorDL: Dual-Locality-based Scheduling for Serverless Inference Workflows

Serverless computing has emerged as an attractive deployment model for deep learning model inference workflows, enabling elastic scaling and fine-grained resource billing across function instances. However, scheduling in this setting introduces a competing-objective challenge: placement decisions simultaneously govern...

Min Chang Kim, Hyungjun Kim, Hokun Park et al. · 0 citations
Conference Jul 2026

BYSTANDER: State-Aware End-to-End Latency Prediction for Heterogeneous LLM Inference Scheduling

Large Language Model (LLM) inference services increasingly rely on heterogeneous GPU clusters to balance cost and performance. However, request routing in such environments is challenging because schedulers must account for hardware heterogeneity, dynamic workload characteristics, and bursty arrivals. Existing approach...

Minjae Jung, Hyungjun Kim, Hokun Park et al. · 0 citations

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