SD-EON中基于NFV映射的QoE算法

林国勇

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SD-EON中基于NFV映射的QoE算法

更新时间：2026-09-04

- SD-EON中基于NFV映射的QoE算法
- QoE algorithm design based on NFV mapping in SD-EON
- 微电子学与计算机 2020年37卷第4期页码：86-90
- 作者机构：
  
  广西民族大学机构相思湖学院,广西,南宁,530008
- 作者简介：
- 基金信息：
  
  广西高校中青年教师基础能力提升项目 2018KY0818
- DOI：
  中图分类号：
- 纸质出版：2020
- 稿件说明：
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林国勇. SD-EON中基于NFV映射的QoE算法[J]. 微电子学与计算机, 2020, 37(4): 86-90.

LIN Guo-yong. QoE algorithm design based on NFV mapping in SD-EON[J]. 2020, 37(4): 86-90.
林国勇. SD-EON中基于NFV映射的QoE算法[J]. 微电子学与计算机, 2020, 37(4): 86-90. DOI：

LIN Guo-yong. QoE algorithm design based on NFV mapping in SD-EON[J]. 2020, 37(4): 86-90. DOI：

摘要

为解决大数据和云计算等新技术的兴起弱化了传统光网络客户体验(QoE)应对能力的问题，提出一种在软件定义弹性光网络(SD-EON)架构下开展网络功能虚拟化(NFV)映射计算请求的QoE研究方案.NFV映射方案秉承标准化图像分割机制(ND)思想，结合网络业务请求特征按照拟定的QoE思路，从全局搜索与网络业务映射请求相适配的网元集和链路集建立出多个子图序列.再经过相交处理评估出可靠的序列子集用于实施映射作业.最后构建模拟环境考察QoE算法的映射成效.经频繁测试后统计的数据表明，QoE算法在VON映射后的全网载荷布局方面表现出了显著的相对优势，具有良好的全局性和应用性.

Abstract

In order to solve the problem that the rise of new technologies such as big data and cloud computing weakens the coping ability of traditional optical network customers to experience (QoE)

a QoE research scheme is proposed to carry out the (NFV) mapping computing request of network function virtualization under the framework of software-defined flexible optical network (SD-EON). The NFV mapping scheme adheres to the idea of standardized image segmentation mechanism (ND) and combines the characteristics of network service request according to the proposed QoE idea

and establishes multiple subgraph sequences from the network element set and link set which are suitable for global search and network service mapping request. Then a reliable subset of sequences is evaluated by intersection processing for the implementation of mapping operations. Finally

a simulation environment is constructed to investigate the mapping effect of QoE algorithm. The statistical data after frequent tests show that the QoE algorithm has a significant comparative advantage in the load layout of the whole network after VON mapping

and has good global and application.

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references

THYAUATURU A S, MERCIAN A.Software DefinedOptical Networks: a Comprehensive Survey[J].IEEE Communications Surveys and Tutorials, 2016, 18(4):2738-2786. DOI: 2738

LlAO J X, FEND M, QINU S D. Learning and Inference for Virtual Network Embedding [J].Journal of Network and Systems Management, 2016, 24(2):227-256. DOI: 227

徐立冰.云计算和大数据时代网络技术揭秘[M].北京:人民邮电出版社, 2017.

刘焕淋, 易鹏飞, 张明佳, 等.最小故障风险损失的弹性光网络多链路故障概率保护[J].电子与信息学报, 2018, 40 (8) :1819-1825. DOI: 1819

Karmouch A. Cost-Efficient Mapping for Fault-Tolerant Virtual Networks[J]. IEEE Transactions on Computers, 2017, 66(3):968-981. DOI: 968

任丹萍, 武姗姗, 张丽静.EPON中基于软件定义光网络的带宽优化节能机制[J].光通信技术, 2015, 39(8):29-32. DOI: 29

CHOWDHURY S R, AHMED R. Dedicated Protection for Survivable Virtual Network Embedding[J].IEEE Transactions on Network and Service Management, 2017, 24(4):913-926. DOI: 913

CHFN B W, ZHANU J, XlE W S, et al.Cost-effectiveSurvivable Virtual Optical Network Mapping in Flexible Bandwidth Optical Network[J].Journal of Lightwave Technology, 2017, 35(10):2398-2412. DOI: 2398

赵继军, 郑斗, 胡劲华, 等.弹性光网络中节点优先的虚拟网络映射算法[J].中国激光, 2017, 44(9):190-198. DOI: 190

CAO H T, ZHU Y X, YANG L X, et al. A Efficient Mapping Algorithm with Novel Node-Ranking Approach for Embedding Virtual Networks[J].Optics Express, 2018, 26(23): 1021-1028. DOI: 1021

BASTA A, BARLA B, HOFFMANN M, et al. Failure Coverage in Optimal Virtual Networks[J].Transactions on Internet and Information Systems, 2017, 26(2):922-941. DOI: 922

程祥, 张忠宝.基于粒子群优化的虚拟网络映射算法[J].电子学报, 2016, 39(10):2240-2244. DOI: 2240

严军荣, 叶景畅.一种大象流两级识别方法[J].电信科学, 2017, 33(3) :36-43. DOI: 36

越峰, 张杰, 赵永利.软件定义光网络((SDON)发展前瞻[J].电信科学, 2016, 35(8):19-22. DOI: 19

李兵奎, 庄雷, 胡颖, 等. SDN中基于交换机等级划分的安全路由策略[J].计算机应用研究, 2017, 34(2):522-525. DOI: 522

ZHANU J W, JI Y F, SONG M, et al. Dynamic VirtualNetwork Embedding over Multilayer Optical Networks[J].Journal of Optical Communications and Networking, 2017, 31(9):128-131. DOI: 128

周桐庆, 蔡志平, 夏竟.基于软件定义网络的流量工程[J].软件学报, 2018, 28 (2):394-417. DOI: 394

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