| 软件定义网络控制平面可扩展性研究进展 |
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| 引用本文： | 张少军,兰巨龙,胡宇翔,江逸茗.软件定义网络控制平面可扩展性研究进展[J].软件学报,2018,29(1):160-175. |
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| 作者姓名： | 张少军 兰巨龙 胡宇翔 江逸茗 |
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| 作者单位： | 国家数字交换系统工程技术研究中心, 河南 郑州 450002,国家数字交换系统工程技术研究中心, 河南 郑州 450002,国家数字交换系统工程技术研究中心, 河南 郑州 450002,国家数字交换系统工程技术研究中心, 河南 郑州 450002 |
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| 基金项目： | 国家重点基础研究计划（973）（2013CB329104）；国家自然科学基金（61521003，61502530，61372121）；国家高技术研究发展计划（863）（2015AA016102） |
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| 摘 要： | 软件定义网络（software-defined networking，简称SDN）遵循控制转发分离的设计原则，其控制平面采用集中的控制逻辑，在提供灵活高效的网络控制的同时，也面临着严重的可扩展性问题.对SDN控制平面可扩展性相关工作进行综述.首先分析控制平面可扩展性的影响因素并给出改善思路；在此基础上，从数据平面缓存优化、高性能控制器、分布式控制平面和控制资源优化分配4种技术路线出发，论述了主要的解决方案和研究进展.最后，给出总结并展望了未来的研究工作.
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| 关 键 词： | 软件定义网络 控制平面 可扩展性 数据平面 OpenFlow |
| 收稿时间： | 2016/6/16 0:00:00 |
| 修稿时间： | 2017/4/7 0:00:00 |
Survey on Scalability of Control Plane in Software-Defined Networking |
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| ZHANG Shao-Jun,LAN Ju-Long,HU Yu-Xiang and JIANG Yi-Ming.Survey on Scalability of Control Plane in Software-Defined Networking[J].Journal of Software,2018,29(1):160-175. |
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| Authors: | ZHANG Shao-Jun LAN Ju-Long HU Yu-Xiang and JIANG Yi-Ming |
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| Affiliation: | National Digital Switching System Engineering and Technological R & D Center, Zhengzhou 450002, China,National Digital Switching System Engineering and Technological R & D Center, Zhengzhou 450002, China,National Digital Switching System Engineering and Technological R & D Center, Zhengzhou 450002, China and National Digital Switching System Engineering and Technological R & D Center, Zhengzhou 450002, China |
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| Abstract: | Software-defined networking (SDN) is an emerging paradigm that decouples control and data plane. The control plane advocates a centralized approach of network control, which provides both flexibility and high efficiency, but suffers from serious scalability problems. The state-of-art works on the scalability of control plane in SDN is surveyed in this paper. It first analyses the factors that influence the scalability of control plane and provides some improvement ways accordingly. Current researches and solutions are introduced from the following 4 aspects:cache optimization on data plane, high-performance controller, distributed control plane and control resource allocation optimization. Finally, a brief summary of current technology is provided, along with a discussion on future research directions. |
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| Keywords: | software-defined networking control plane scalability data plane OpenFlow |
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