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[ "吴晓春(1983- ),女,博士,浙江工商大学信息与电子工程学院高级实验师、硕士生导师,主要研究方向为新一代网络技术架构、软件定义网络、网络功能虚拟化、人工智能与网络安全的结合等" ]
[ "洪晨(1998- ),女,浙江工商大学信息与电子工程学院硕士生,主要研究方向为知识图谱、新一代网络技术架构" ]
[ "张岳(1998- ),女,浙江工商大学信息与电子工程学院硕士生,主要研究方向为知识图谱、新一代网络技术架构" ]
[ "张俊楠(1997- ),男,浙江工商大学信息与电子工程学院硕士生,主要研究方向为新一代网络技术架构" ]
[ "周静静(1980- ),女,博士,浙江工商大学信息与电子工程学院副教授、硕士生导师,主要研究方向为新一代网络技术架构、软件定义网络、网络流量建模与分析、大数据处理、深度学习等" ]
网络出版日期:2022-12,
纸质出版日期:2022-12-20
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吴晓春, 洪晨, 张岳, 等. 基于微服务架构的粒度可变服务功能链映射算法[J]. 电信科学, 2022,38(12):11-26.
Xiaochun WU, Chen HONG, Yue ZHANG, et al. Variable granularity service function chain mapping algorithm based on microservice architecture[J]. Telecommunications science, 2022, 38(12): 11-26.
吴晓春, 洪晨, 张岳, 等. 基于微服务架构的粒度可变服务功能链映射算法[J]. 电信科学, 2022,38(12):11-26. DOI: 10.11959/j.issn.1000-0801.2022289.
Xiaochun WU, Chen HONG, Yue ZHANG, et al. Variable granularity service function chain mapping algorithm based on microservice architecture[J]. Telecommunications science, 2022, 38(12): 11-26. DOI: 10.11959/j.issn.1000-0801.2022289.
针对5G环境下服务功能链(SFC)端到端时延无法满足时延敏感型应用需求的问题,将传统虚拟网络功能(VNF)拆分成粒度不一的映射单元,提出了基于微服务架构的粒度可变服务功能链映射(VG-SFCM)算法。首先将传统粗粒度的VNF解耦成细粒度的微服务单元,随后通过SFC内冗余微服务单元的合并及SFC间微服务单元的复用,减少微服务单元的实例化,降低SFC的处理时间。仿真结果表明,所提算法在降低平均部署网络成本的同时,其SFC端到端时延相较于传统的映射算法降低了14.81%。
For the problem that the end-to-end delay of the service function chain (SFC) cannot meet the demand of delay-sensitive applications in 5G environment
a variable granularity service function chain mapping (VG-SFCM) algorithm based on microservice architecture was proposed by splitting the traditional virtualized network function (VNF) into mapping units of varying granularity.Firstly
the traditional coarse-grained VNF was decoupled into fine-grained microservice units
and then the instantiation of microservice units was reduced through the consolidation of redundant microservice units within SFC and the reuse of microservice units between SFC
thus reducing the processing time of SFC.The simulation results show that the algorithm reduces the end-to-end delay of SFC by 14.81% compared to the traditional mapping algorithm while reducing the average deployment network cost.
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