Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything
The rapid development of the Internet of Everything (IoE) is accelerating the adoption of intelligent applications. However, the massive number of connected devices generates diverse and heterogeneous tasks, which pose increasing challenges for dynamic resource scheduling in IoE environments. Using their superior semantic understanding and reasoning capabilities, Large Artificial Intelligence Models (LAIMs) demonstrate significant potential to handle complex scheduling scenarios and improve resource utilization efficiency. This paper investigates a task-oriented LAIM-driven resource scheduling mechanism, which constructs a multidimensional scheduling decision model by integrating task sem...
| Authors | Haijun Zhang, Zhuojun Duan, Zijun Wu et al. |
|---|---|
| Primary category | cs.NI |
| Published | 29 July 2026 |
| Last updated at source | 29 July 2026 |
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