Multi-Agent Scheduling with LLM-Assisted Contract Net Negotiation for Stream Processing in Mobile Edge Computing
Leveraging LLM-enhanced negotiation to optimize latency and resource usage in mobile edge computing infrastructures.
Stream-processing systems increasingly operate across heterogeneous mobile edge--cloud infrastructures, where workload volatility, resource contention, and stringent quality-of-service (QoS) requirements complicate decentralized scheduling. This paper proposes \emph{MAS-DecStream...
ArXiv CS.AI
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Integrating large language models into decentralized scheduling protocols enables edge systems to process complex, qualitative data for better resource allocation. This hybrid approach bridges the gap between rigid deterministic constraints and the volatile, unpredictable nature of modern edge computing environments.
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