意图驱动数据链网络策略协商模型与算法

doi:10.12305/j.issn.1001-506X.2024.06.31

Abstract

Abstract:

The priority based intent negotiation algorithm is proposed to address the issue of conflicting intent policies in intent-driven data-link networks. The algorithm aims to achieve the optimal configuration of intent policies while considering the limited availability of network resources. It takes into account both time and bandwidth dimensions of resources and indirectly increases the available network resources by reclaiming resources from low-priority intents that have already been configured. This approach enhances the quality of high-priority intents that are yet to be configured. Additionally, the algorithm utilizes optimization techniques to determine the best resource allocation for configuring high-priority intents and reclaiming low-priority intents, thereby avoiding the problem of forcefully downgrading intents due to insufficient resources and the resulting degradation in service quality. Experimental results demonstrate that the proposed algorithm significantly improves the resource planning capability of data-link networks, leading to a 6.0% and 5.5% enhancement in intent service quality compared to existing negotiation algorithms.

Key words: intent-driven network, resource allocation, intent negotiation, network architecture, data link network

CLC Number:

TN919

Xianglin LIU, Chungang YANG, Fuqiang LI, Ying OUYANG, Yanbo SONG. Intent-driven data link network policy negotiation model and algorithm[J]. Systems Engineering and Electronics, 2024, 46(6): 2128-2137.

Figures/Tables 13

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研究名称	动态性	应用场景	特点
PGA	静态策略	企业网络	直观的图形抽象来表达和组合网络策略
Janus	动态策略	异构网络	在某一时间段减少某些意图的带宽, 并在未来某一时刻进行补偿
INDIRA	动态策略	软件定义网络	为待协商意图分配网络所能提供的最大物理资源
ICRL	动态策略	软件定义光网络	在资源紧张时期为保证成功执行意图为待协商提供较低的网络资源
TBN	动态策略	IDN	选择协商时间片集合进行意图时间迁移及可用最大带宽的方式协商

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Intent-driven data link network policy negotiation model and algorithm

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