Smart Adaptive Computing Across the Continuum: LLMs in IoT-Edge-Cloud Resource Management
2.20T1 sourcearXiv cs.MA
arXiv cs.MAoriginal source ↗
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.09348.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA taxonomy paper extending Wang et al.'s classification of DRL-based Continuum Orchestration Systems with two dimensions — AI Augmentation Paradigm and Feedback channel — to characterize LLM integration. Applied to six recent architectures; finds none combines full LLM orchestration with full agent-layer feedback.
Why it mattersNames a specific architectural gap in LLM-augmented DRL control loops across IoT-edge-cloud tiers, relevant to anyone designing LLM-as-orchestrator systems.
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