English(EN) Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything

大型语言模型增强万物互联的资源分配

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-30 04:00

研究人员开发了一种新的万物互联（IoE）资源调度机制，该机制利用大型人工智能模型（LAIM）。该方法整合了任务语义、网络状态和约束条件，创建了一个多维调度决策模型。外部反馈模块实时验证和评估调度策略，增强了鲁棒性。仿真结果表明，与传统方法相比，在收敛速度、处理延迟和能耗方面都有显著提高。 AI

影响这项研究可能导致在万物互联等复杂互联环境中实现更高效、更具响应性的资源管理。

排序理由这是一篇研究论文，详细介绍了大型语言模型在 IoE 资源分配方面的新颖应用。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Haijun Zhang, Zhuojun Duan, Zijun Wu, Xu Ma, Yuzheng Ren · 2026-07-30 04:00

利用大型语言模型实现万物互联中的智能资源分配

arXiv:2607.26602v1 Announce Type: cross Abstract: 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 …