LLM-Assisted Contract Net Protocol for Stream Processing in Mobile Edge Computing
A recent study published on arXiv (2608.12371) introduces MAS-DecStream, a framework designed for multi-agent scheduling in stream processing within mobile edge computing. The key innovation is LLM-MR-CNP, an enhanced version of the Contract Net Protocol (CNP) that incorporates large language models (LLMs) for creating semantic call-for-proposals (CFPs), facilitating progressive context sharing, enabling multi-round proposal adjustments, maintaining negotiation memory, and ensuring deterministic validation. This framework tackles issues in diverse mobile edge-cloud setups, such as workload fluctuations, resource competition, and strict quality-of-service (QoS) standards. Experiments utilizing the Alibaba ASI Trace assess the extension across three dimensions: single versus multi-round CNP, rule-based versus LLM-supported refinement, and fixed-model single versus multi-round negotiation. The paper falls under AI and distributed systems, indicating its potential for improving resource management in edge computing scenarios.
Key facts
- Paper arXiv:2608.12371 proposes MAS-DecStream for stream processing scheduling.
- Main contribution is LLM-MR-CNP, an extension of Contract Net Protocol.
- LLM-MR-CNP includes semantic CFP formulation, progressive context disclosure, multi-round proposal revision, negotiation memory, and deterministic validation.
- Targets heterogeneous mobile edge-cloud infrastructures with workload volatility and resource contention.
- Edge-cluster agents refine natural-language offloading proposals from local observations and predicted resource states.
- Hard resource and QoS constraints remain deterministic.
- Experiments use Alibaba ASI Trace.
- Evaluation covers single- vs multi-round CNP, rule-based vs LLM-assisted refinement, and fixed-model single- vs multi-round negotiation.
Entities
Institutions
- arXiv
- Alibaba