两段式虚拟网络功能硬件加速资源部署机制

doi:10.11772/j.issn.1001-9081.2018020488

计算机应用 ›› 2018, Vol. 38 ›› Issue (9): 2575-2580.DOI: 10.11772/j.issn.1001-9081.2018020488

两段式虚拟网络功能硬件加速资源部署机制

范宏伟, 胡宇翔, 兰巨龙

国家数字交换系统工程技术研究中心, 郑州 450002

收稿日期:2018-03-12 修回日期:2018-05-04 出版日期:2018-09-10 发布日期:2018-09-06
通讯作者: 胡宇翔
作者简介:范宏伟(1994—),男,河南长葛人,硕士研究生,主要研究方向:新型网络体系结构、网络功能虚拟化;胡宇翔(1982—),男,河南周口人,副研究员,博士,主要研究方向:新一代信息网络、网络安全;兰巨龙(1962—),男,河北张北人,教授,博士,主要研究方向:宽带信息网络、网络与信息安全。
基金资助:
国家网络空间安全专项（2017YFB0803204）；国家863计划项目（2015AA016102）；国家自然科学基金创新研究群体项目（61521003）。

Two-stage hardware acceleration resource deployment mechanism for virtual network function

FAN Hongwei, HU Yuxiang, LAN Julong

National Digital Switching System Engineering and Research Center, Zhengzhou Henan 450002, China

Received:2018-03-12 Revised:2018-05-04 Online:2018-09-10 Published:2018-09-06
Contact: 胡宇翔
Supported by:
This work is partially supported by the National Network Security Special Subject (2017YFB0803204), the National High Technology Research and Development Program (863 Program) of China (2015AA016102), the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (61521003).

摘要/Abstract

摘要： 设计硬件加速机制，解决软件定义网络/网络功能虚拟化（SDN/NFV）架构中虚拟网络功能（VNF）的性能受限问题，成为当前的研究热点。在引入VNF硬件加速资源后，如何实现对加速资源的统一管理和部署，是亟待解决的问题。为此，首先提出了基于服务器端加速卡和OpenFlow交换机的VNF加速资源的统一管理架构；在此基础上，对加速资源部署问题进行建模，通过分析VNF加速资源对服务链映射的影响，提出了VNF加速资源部署策略的评价指标；最后，设计了两段式的加速资源部署算法求解该问题。实验结果表明，与只考虑节点单一属性的部署算法（SARD）和均匀部署算法（UARD）相比，所提机制能够优化部署加速资源，加速资源承载的流量和加速资源的利用率分别提升41.4%和14.5%。

关键词: 软件定义网络, 网络功能虚拟化, 虚拟网络功能, 硬件加速, 资源部署

Abstract: It is a hot research topic to solve the low performance of Virtual Network Function (VNF) in SDN/NFV (Software Defined Networking/Network Function Virtualization) architecture by designing hardware acceleration mechanism. After introducing the hardware acceleration resources to VNF, how to control and deploy these acceleration resources has been an urgent problem. To solve the problems above, a uniform hardware acceleration management architecture based on the accelerator cards on servers and OpenFlow switches was proposed. Based on this architecture, the model of acceleration resource deployment was built, and the evaluation indicators for the resource deployment mechanism was proposed by analyzing the impact of acceleration resources on service chain mapping. Finally, a two-stage acceleration resource deployment algorithm was designed. The experimental results show that, compared with Single-attribute Acceleration Resource Deployment algorithm (SARD) and Uniform Acceleration Resource Deployment algorithm (UARD), the proposed mechanism can optimize the deployment of the acceleration resources and improve the total traffic handled by acceleration resources and the utilization of acceleration resources by 41.4% and 14.5% respectively.

Key words: Software Defined Networking (SDN), Network Function Virtualization (NFV), Virtual Network Function (VNF), hardware acceleration, resource deployment

中图分类号:

TP393

范宏伟, 胡宇翔, 兰巨龙. 两段式虚拟网络功能硬件加速资源部署机制[J]. 计算机应用, 2018, 38(9): 2575-2580.

FAN Hongwei, HU Yuxiang, LAN Julong. Two-stage hardware acceleration resource deployment mechanism for virtual network function[J]. Journal of Computer Applications, 2018, 38(9): 2575-2580.

参考文献

[1] MIJUMBI R, SERRAT J, GORRICHO J L, et al. Network function virtualization:state-of-the-art and research challenges[J]. IEEE Communications Surveys and Tutorials, 2015, 18(1):236-262.
[2] HAN B, GOPALAKRISHNAN V, JI L, et al. Network function virtualization:challenges and opportunities for innovations[J]. IEEE Communications Magazine, 2015, 53(2):90-97.
[3] MARTINS J, AHMED M, RAICIU C, et al. ClickOS and the art of network function virtualization[C]//NSDI'14:Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation. Berkeley, CA:USENIX Association, 2014:459-473.
[4] MATIAS J, GARAY J, TOLEDO N, et al. Toward an SDN-enabled NFV architecture[J]. IEEE Communications Magazine, 2015, 53(4):187-193.
[5] BI J, ZHU S, SUN C, et al. Supporting virtualized network functions with stateful data plane abstraction[J]. IEEE Network, 2016, 30(3):40-45.
[6] TSENG J, WANG R, TSAI J, et al. Exploiting integrated GPUs for network packet processing workloads[C]//NeSoft'16:Proceedings of the 2016 IEEE NetSoft Conference and Workshops. Piscataway, NJ:IEEE, 2016:161-165.
[7] YI X, DUAN J, WU C. GPUNFV:a GPU-accelerated NFV system[C]//APNet'17:Proceedings of the 1st Asia-Pacific Workshop on Networking. New York:ACM, 2017:85-91.
[8] GE X, LIU Y, DU D H C, et al. OpenANFV:accelerating network function virtualization with a consolidated framework in openstack[C]//SIGCOMM'14:Proceedings of the 2014 ACM Conference on SIGCOMM. New York:ACM, 2014:353-354.
[9] LI B, TAN K, LUO L, et al. ClickNP:highly flexible and high performance network processing with reconfigurable hardware[C]//SIGCOMM'16:Proceedings of the 2016 ACM SIGCOMM Conference. New York:ACM, 2016:1-14.
[10] DWARAKI A, WOLF T. Adaptive service-chain routing for virtual network functions in software-defined networks[C]//HotMiddlebox'16:Proceedings of the 2016 Workshop on Hot Topics in Middleboxes and Network Function Virtualization. New York:ACM, 2016:32-37.
[11] 刘彩霞,卢干强,汤红波,等.一种基于Viterbi算法的虚拟网络功能自适应部署方法[J].电子与信息学报,2016,38(11):2922-2930.(LIU C X, LU G Q, TANG H B, et al. Adaptive deployment method for virtualized network function based on viterbi algorithm[J]. Journal of Electronics and Information Technology, 2016, 38(11):2922-2930.)
[12] BRONSTEIN Z, ROCH E, XIA J, et al. Uniform handling and abstraction of NFV hardware accelerators[J]. IEEE Network, 2015, 29(3):22-29.
[13] 李德毅,刘常昱,杜鹢,等.不确定性人工智能[J].软件学报,2004,15(11):1583-1594.(LI D Y, LIU C Y, DU Y, et al. Artificial intelligence with uncertainty[J]. Journal of Software, 2004, 15(11):1583-1594.)
[14] CORMEN T T, LEISERSON C E, RIVEST R L. Introduction to algorithms[J]. Resonance, 2009, 1(9):14-24.
[15] MIJUMBI R, SERRAT J, GORRICHO J L, et al. Design and evaluation of algorithms for mapping and scheduling of virtual network functions[C]//NetSoft'15:Proceedings of the 20151st IEEE Conference on Network Softwarization. Piscataway, NJ:IEEE, 2015:1-9.
[16] FENG H, LLORCA J, TULINO A M, et al. Approximation algorithms for the NFV service distribution problem[C]//IEEE INFOCOM'17:Proceedings of the 2017 IEEE Conference on Computer Communications. Piscataway, NJ:IEEE, 2017:1-9.

两段式虚拟网络功能硬件加速资源部署机制

Two-stage hardware acceleration resource deployment mechanism for virtual network function

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	许红亮, 杨桂芹, 蒋占军. 基于软件定义网络的数据中心自适应多路径负载均衡算法[J]. 计算机应用, 2021, 41(4): 1160-1164.
[2]	王晓峰, 蒋彭龙, 周辉, 赵雄波. 面向卷积神经网络的高并行度FPGA加速器设计[J]. 计算机应用, 2021, 41(3): 812-819.
[3]	陈港, 孟相如, 康巧燕, 阳勇. 基于拓扑分割与聚类分析的虚拟软件定义网络映射算法[J]. 《计算机应用》唯一官方网站, 2021, 41(11): 3309-3318.
[4]	朱梦迪, 束永安. 软件定义网络中控制数据平面一致性的验证[J]. 计算机应用, 2020, 40(6): 1751-1754.
[5]	向雄, 田检. 基于软件定义网络的对等网传输调度优化[J]. 计算机应用, 2020, 40(3): 777-782.
[6]	赵季红, 吴豆豆, 曲桦, 殷振宇. 基于软件定义网络的可靠性虚拟网络映射保障机制[J]. 计算机应用, 2020, 40(3): 770-776.
[7]	池亚平, 莫崇维, 杨垠坦, 陈纯霞. 面向软件定义网络架构的入侵检测模型设计与实现[J]. 计算机应用, 2020, 40(1): 116-122.
[8]	贾梦瑶, 王兴伟, 张爽, 易波, 黄敏. 基于软件定义网络的卫星网络容错路由机制[J]. 计算机应用, 2019, 39(6): 1772-1779.
[9]	李兆斌, 刘泽一, 魏占祯, 韩禹. 基于哈希链的软件定义网络路径安全[J]. 计算机应用, 2019, 39(5): 1368-1373.
[10]	邹承明, 刘攀文, 唐星. 动态主机配置协议泛洪攻击在软件定义网络中的实时防御[J]. 计算机应用, 2019, 39(4): 1066-1072.
[11]	张雲轲, 刘丹. 基于小型Zynq SoC硬件加速的改进TINY YOLO实时车辆检测算法实现[J]. 计算机应用, 2019, 39(1): 192-198.
[12]	朱晓东, 王劲林, 王玲芳. 软件定义网络中协同存储数据面快速转发[J]. 计算机应用, 2018, 38(8): 2343-2347.
[13]	李兆斌, 李伟隆, 魏占祯, 刘梦甜. SDN数据安全处理机制关键模块的研究与实现[J]. 计算机应用, 2018, 38(7): 1929-1935.
[14]	樊自甫, 周凯恒, 姚杰. 基于博弈论的SDN主控制器重选机制[J]. 计算机应用, 2018, 38(3): 776-779.
[15]	张传浩, 周桥. 节点效用最大化的服务功能链构建方法[J]. 计算机应用, 2018, 38(2): 503-508.