Generic Intent-Driven Networking Paradigm with Different Levels of Policy Abstraction

Intent-driven networking automatically refines high-level intents into network configuration policies, thereby simplifying network management complexity, for a large-scale network in particular. The intent refinement technique facilitates the full-lifecycle refinement from declarative intents to executable policies, and finally to device-centric configurations. Currently, policies at different abstraction levels during the intent refinement process lack a generic framework. Therefore, in this article, we propose a novel network paradigm to present the hierarchical framework of policies and the full-lifecycle of intent. We survey existing policy languages and classify them based on different abstraction levels. In addition, we distinguish the intent refinement techniques according to template-based, model-based, and search-based design approaches, and then analyze refinement between different levels of policies. Finally, we design an intent refinement system to validate the feasibility and effectiveness of our proposed framework.

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Publication Details

Journal
IEEE Communications Magazine
Published
2024-12-23
DOI
https://doi.org/10.1109/mcom.001.2400061
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00
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article

Generic Intent-Driven Networking Paradigm with Different Levels of Policy Abstraction

Chungang Yang, Mohsen Guizani, Zhu Han, Ying Ouyang et al.
IEEE Communications Magazine
Software-Defined Networks and 5G
article

Generic Intent-Driven Networking Paradigm with Different Levels of Policy Abstraction

Chungang Yang, Mohsen Guizani, Zhu Han, Ying Ouyang, Tong Li, Xianglin Liu
article en

Abstract

Intent-driven networking automatically refines high-level intents into network configuration policies, thereby simplifying network management complexity, for a large-scale network in particular. The intent refinement technique facilitates the full-lifecycle refinement from declarative intents to executable policies, and finally to device-centric configurations. Currently, policies at different abstraction levels during the intent refinement process lack a generic framework. Therefore, in this article, we propose a novel network paradigm to present the hierarchical framework of policies and the full-lifecycle of intent. We survey existing policy languages and classify them based on different abstraction levels. In addition, we distinguish the intent refinement techniques according to template-based, model-based, and search-based design approaches, and then analyze refinement between different levels of policies. Finally, we design an intent refinement system to validate the feasibility and effectiveness of our proposed framework.

IEEE Communications MagazineVol. 63(4)
Xidian University (CN), Mohamed bin Zayed University of Artificial Intelligence (AE), University of Houston (US)
Openalex Percentile: Top 73%
Software-Defined Networks and 5G
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