Software-Defined Agentic Serving
Fuente:
arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866912805223923712 |
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| author | Agarwal, Saurabh Laju, Marco Srinivasa, Jayanth Lee, Myungjin Akella, Aditya |
| author_facet | Agarwal, Saurabh Laju, Marco Srinivasa, Jayanth Lee, Myungjin Akella, Aditya |
| contents | As multi-agent LLM pipelines grow in complexity, existing serving paradigms fail to adapt to the dynamic serving conditions. We argue that agentic serving systems should be programmable and system-aware, unlike existing serving which statically encode the parameters. In this work, we propose a new SDN-inspired agentic serving framework that helps control the key attributes of communication based on runtime state. This architecture enables serving-efficient, responsive agent systems and paves the way for high-level intent-driven agentic serving. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_03197 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Software-Defined Agentic Serving Agarwal, Saurabh Laju, Marco Srinivasa, Jayanth Lee, Myungjin Akella, Aditya Distributed, Parallel, and Cluster Computing Multiagent Systems As multi-agent LLM pipelines grow in complexity, existing serving paradigms fail to adapt to the dynamic serving conditions. We argue that agentic serving systems should be programmable and system-aware, unlike existing serving which statically encode the parameters. In this work, we propose a new SDN-inspired agentic serving framework that helps control the key attributes of communication based on runtime state. This architecture enables serving-efficient, responsive agent systems and paves the way for high-level intent-driven agentic serving. |
| title | Software-Defined Agentic Serving |
| topic | Distributed, Parallel, and Cluster Computing Multiagent Systems |
| url | https://arxiv.org/abs/2601.03197 |