End-to-End Latency-Minimizing and Load-Balanced Request Scheduling for Edge LLM Inference in Agentic AI Services

arXiv:2609.17193 · cs.AI · Submitted 2026-09-15 · Read on arXiv

cs.AI

Submitted: 2026-09-15

Updated: 2026-09-15

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• KV cache — 41× in this paper · explained in 3 episodes
• Agentic AI — 15× in this paper · explained in 1 episode
• Actor — 6× in this paper · explained in 3 episodes
• Objective Function — 5× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Reward Function — 3× in this paper · explained in 2 episodes
• Action Space — 2× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Lyapunov function — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Active Inference — 1× in this paper · explained in 1 episode
• Agentic AI systems — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Mobile Edge Computing — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing
• A Universal Load Balancing Principle and Its Application to Large Language Model Serving
• GELATO: Generative Entropy- and Lyapunov-based Adaptive Token Offloading for Device-Edge Speculative LLM Inference
• Slice-Level Scheduling for High Throughput and Load Balanced LLM Serving
• Proximal Policy Optimization Algorithms

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