AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Small language models (SLMs) are attractive as local agent controllers because they reduce remote inference, latency, and deployment footprint, yet structured tool errors can cause an agent step to fail. Existing routers typically select a model once per query. However, agents expose sequential decision points whose di...
Data-intensive Mobile Edge Computing (MEC) demands a synergy between server placement and task scheduling, yet these processes operate on disparate optimization horizons. This paper proposes JET, a two-stage optimization framework that bridges this gap through placement-aware scheduling. In the offline stage, an evolut...
The proliferation of connected devices and latency-sensitive applications in mobile edge computing (MEC) and fifth-generation (5G) and beyond (B5G) networks has made intelligent load balancing a cornerstone of next-generation distributed systems. Efficient workload distribution across edge servers is essential for mini...
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