Does OpenFlow Really Decouple The Data Plane from The Control Plane?

被引:0
|
作者
Peixoto, Thiago M. [1 ]
Vieira, Alex B. [1 ]
Nogueira, Michele [3 ]
Macedo, Daniel F. [2 ]
机构
[1] Univ Fed Juiz de Fora, Dept Comp Sci, Juiz De Fora, Brazil
[2] Univ Fed Parana, Comp Sci Dept, Curitiba, Parana, Brazil
[3] Univ Fed Minas Gerais, Dept Comp Sci, Belo Horizonte, MG, Brazil
关键词
SDN; Performance Analysis; Resilience; SOFTWARE-DEFINED NETWORKING;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Software Defined Networks (SDNs) offer flexibility to current networks, allowing operators to manage network elements using software on an external server. SDNs are founded on a key feature: the separation of the control plane from the data plane. OpenFlow is the most popular SDN southbound interface today. However, does OpenFlow really decouple the data plane from the control plane? This is the leading question in this work. The literature has sought to quantify the impact of OpenFlow commands from control plane on data plane performance. Particularly, we argue that it is possible to damage the date plane by too many flow updates. Attackers, for instance, can use this effect in a cloud environment to reduce the performance of a collocated virtual network. However, it is not clear what is the exact impact of this coupling on production hardware and software switches. We investigate this through experiments, under representative scenarios, and propose a threshold mechanism to mitigate the effect of malicious administrators. We have observed that both hardware and software switches suffer from this limitation, presenting an average RTT degradation of up to 12.35% in the hardware switch, and 25.9% on the software switch. Finally, the proposed mechanism mitigates the lack of decoupling and malicious behavior.
引用
收藏
页码:601 / 606
页数:6
相关论文
共 50 条
  • [1] OpenFlow Switching: Data Plane Performance
    Bianco, Andrea
    Birke, Robert
    Giraudo, Luca
    Palacin, Manuel
    2010 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2010,
  • [2] Engineering Traffic Uncertainty in the OpenFlow Data Plane
    Chen, Fei
    Wu, Chunming
    Hong, Xiaoyan
    Lu, Zhouhao
    Wang, Zhouhao
    Lin, Changting
    IEEE INFOCOM 2016 - THE 35TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS, 2016,
  • [3] Source-controlled OpenFlow data plane
    Wang, Zhe
    Liang, Man-Gui
    Ji, Xiao-Meng
    Abisai, Fillipus Mateus
    Tongxin Xuebao/Journal on Communications, 2015, 36 (03):
  • [4] The Performance and Dependability of Control Plane in OpenFlow Networks
    Shang, Zhihao
    2019 IEEE 30TH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING WORKSHOPS (ISSREW 2019), 2019, : 108 - 111
  • [5] cCluster: A Highly Scalable and Elastic OpenFlow Control Plane
    Qiu, Kun
    Tu, Renlong
    Huang, Siyuan
    Zhao, Jin
    Wang, Xin
    2015 IEEE 23RD INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS), 2015, : 165 - 170
  • [6] Delay evaluation of OpenFlow control plane by queue model
    Zuo, Q. (zuoqy@163.com), 2013, Huazhong University of Science and Technology (41):
  • [7] A tool for tracing network data plane via SDN/OpenFlow
    Wang, Yangyang
    Bi, Jun
    Zhang, Keyao
    SCIENCE CHINA-INFORMATION SCIENCES, 2017, 60 (02)
  • [8] A tool for tracing network data plane via SDN/OpenFlow
    Yangyang WANG
    Jun BI
    Keyao ZHANG
    ScienceChina(InformationSciences), 2017, 60 (02) : 74 - 86
  • [9] High Performance Flow Matching Architecture for OpenFlow Data Plane
    Wijekoon, V. B.
    Dananjaya, T. M.
    Kariyawasam, P. H.
    Iddamalgoda, S.
    Pasqual, Ajith
    2016 IEEE CONFERENCE ON NETWORK FUNCTION VIRTUALIZATION AND SOFTWARE DEFINED NETWORKS (NFV-SDN), 2016, : 186 - 191
  • [10] Priority-based Scheduling Policy for OpenFlow Control Plane
    Kasabai, Piyawad
    Djmame, Karim
    Puangpronpitag, Somnuk
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 13 (02): : 733 - 750