AgentFlow: Resilient Adaptive Cloud-Edge Framework for Multi-Agent Coordination
Fuente:
arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866912371116605440 |
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| author | Chen, Ching Han Shiu, Ming Fang |
| author_facet | Chen, Ching Han Shiu, Ming Fang |
| contents | This paper presents AgentFlow, a MAS-based framework for programmable distributed systems in heterogeneous cloud-edge environments. It introduces logistics objects and abstract agent interfaces to enable dynamic service flows and modular orchestration. AgentFlow supports decentralized publish-subscribe messaging and many-to-many service elections, enabling decision coordination without a central server. It features plug-and-play node discovery, flexible task reorganization, and highly adaptable fault tolerance and substitution mechanisms. AgentFlow advances scalable, real-time coordination for resilient and autonomous mission-critical systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_07603 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AgentFlow: Resilient Adaptive Cloud-Edge Framework for Multi-Agent Coordination Chen, Ching Han Shiu, Ming Fang Distributed, Parallel, and Cluster Computing This paper presents AgentFlow, a MAS-based framework for programmable distributed systems in heterogeneous cloud-edge environments. It introduces logistics objects and abstract agent interfaces to enable dynamic service flows and modular orchestration. AgentFlow supports decentralized publish-subscribe messaging and many-to-many service elections, enabling decision coordination without a central server. It features plug-and-play node discovery, flexible task reorganization, and highly adaptable fault tolerance and substitution mechanisms. AgentFlow advances scalable, real-time coordination for resilient and autonomous mission-critical systems. |
| title | AgentFlow: Resilient Adaptive Cloud-Edge Framework for Multi-Agent Coordination |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2505.07603 |