Research on Reliable Deployment Algorithm for Service Function Chain Based on Deep Reinforcement Learning

Keyin Tang
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引用次数: 0

Abstract

This paper investigates the reliable deployment algorithm for Service Function Chains (SFC) based on deep reinforcement learning. SFC, as a chained function composition for complex network services, plays a crucial role in improving network efficiency and stability. To address the issue of existing SFC deployment algorithms that overlook the reliability of network functions and links, this paper proposes a deep reinforcement learning-based algorithm that utilizes a virtual network function and virtual link reliability mapping model for optimization. By learning the mapping between system states and actions, the algorithm can optimize the deployment strategy of SFC, thereby enhancing its reliability and performance. Experimental results demonstrate that the proposed algorithm can significantly improve the reliability of SFC and have practical implications for network service deployment.
基于深度强化学习的业务功能链可靠部署算法研究
研究了基于深度强化学习的业务功能链(SFC)可靠部署算法。SFC作为复杂网络业务的链式功能组合,对提高网络效率和稳定性起着至关重要的作用。针对现有SFC部署算法忽视网络功能和链路可靠性的问题,本文提出了一种基于深度强化学习的算法,该算法利用虚拟网络功能和虚拟链路可靠性映射模型进行优化。该算法通过学习系统状态与动作之间的映射关系,优化SFC的部署策略,从而提高SFC的可靠性和性能。实验结果表明,该算法能够显著提高SFC的可靠性,对网络业务部署具有实际意义。
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