基于知识图谱的服务功能链在线部署算法

徐泽汐; 庄雷; 张坤丽; 桂明宇

doi:10.11959/j.issn.1000-436x.2022154

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基于知识图谱的服务功能链在线部署算法

学术论文 | 更新时间：2024-06-05

- 基于知识图谱的服务功能链在线部署算法
- Online placement algorithm of service function chain based on knowledge graph
- 通信学报 2022年43卷第8期页码：41-51
- 作者机构：
- 作者简介：
  
  [ "徐泽汐（1997- ），女，河南驻马店人，郑州大学博士生，主要研究方向为网络虚拟化、NFV部署技术等" ]
  [ "庄雷（1963- ），女，山东日照人，博士，郑州大学教授，主要研究方向为网络虚拟化、模型检测等" ]
  [ "张坤丽（1977- ），女，河南巩义人，博士，郑州大学讲师，主要研究方向为人工智能、自然语言处理" ]
  [ "桂明宇（2000- ），男，河南长葛人，郑州大学硕士生，主要研究方向为知识图谱融合、实体对齐、知识图谱补全、链接预测等" ]
- 基金信息：
  
  国家电网有限公司总部科技基金资助项目;The State Grid Corporation of China Science and Technology Project(5700-202024176A-0-0-00)
- DOI：10.11959/j.issn.1000-436x.2022154
  中图分类号： TP393
- 网络出版日期：2022-08，
  
  纸质出版日期：2022-08-25
- 稿件说明：
移动端阅览
徐泽汐, 庄雷, 张坤丽, 等. 基于知识图谱的服务功能链在线部署算法[J]. 通信学报, 2022,43(8):41-51.

Zexi XU, Lei ZHUANG, Kunli ZHANG, et al. Online placement algorithm of service function chain based on knowledge graph[J]. Journal on communications, 2022, 43(8): 41-51.
徐泽汐, 庄雷, 张坤丽, 等. 基于知识图谱的服务功能链在线部署算法[J]. 通信学报, 2022,43(8):41-51. DOI： 10.11959/j.issn.1000-436x.2022154.

Zexi XU, Lei ZHUANG, Kunli ZHANG, et al. Online placement algorithm of service function chain based on knowledge graph[J]. Journal on communications, 2022, 43(8): 41-51. DOI： 10.11959/j.issn.1000-436x.2022154.

摘要

沉浸式云 XR、全息通信等新型网络业务的出现对网络服务质量提出了更高的要求。为保证网络服务的可获得性，在实施虚拟网络功能部署时，必须根据网络功能的属性以及之间的依赖关系，将网络服务的时延、可靠性等控制在一定的服务质量等级内。然而邻接矩阵、边表等传统的网络表征形式无法涵盖这些关键网络信息，造成算法在输入阶段的信息缺失，进而导致计算结果的偏差。因此，为了准确提取用户需求，反映网络资源的动态变化，采用知识图谱对网络及其业务进行表征，提出了一种基于知识图谱的服务功能链在线部署算法。所提算法对网络业务请求与底层网络分别进行知识提取，构建或更新相应的知识图谱，分解出它们的关系集合，并基于此设计了一种基于编辑距离的关系对齐方法，指导复杂依赖关系下的服务功能链在线部署。实验表明，所提算法使复杂网络环境下的服务功能链部署请求接收率提高了10%～15%，网络平均能耗降低了约13%，且复杂度低，时效性较强。

Abstract

The emergence of new network services such as immersive cloud XR and holographic communication puts forward higher requirements for network service quality.To ensure the availability of network services

the network service delay and reliability must be controlled within a certain quality of service according to the attributes and dependencies of network functions.However

the traditional network representation forms

such as bitmap and matrix

cannot cover these key network information

resulting in the information loss in the input stage of the algorithm

which leads to the deviation of the calculation results.Therefore

in order to accurately extract user needs and reflect the dynamic changes of network resources

knowledge graph was adopted to represent the network and its services

an online placement algorithm of service function chain based on knowledge graph was proposed.Based on this

a relationship alignment method based on editing distance was designed to guide the online placement of service function chains under complex dependency relationships.Experimental results show that the proposed algorithm can improve the placement accuracy of service function chain by 10%~15% and reduce the average network energy consumption by about 13%.The proposed algorithm has low complexity and high timeliness.

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references

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