Performance evaluation of OpenFlow-based software-defined networks based on queueing model

被引:92
|
作者
Xiong, Bing [1 ]
Yang, Kun [2 ]
Zhao, Jinyuan [3 ]
Li, Wei [1 ]
Li, Keqin [4 ]
机构
[1] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Hunan, Peoples R China
[2] NE Normal Univ, Sch Software, Changchun 130024, Peoples R China
[3] Cent South Univ, Sch Software, Changsha 410075, Hunan, Peoples R China
[4] SUNY Coll New Paltz, Dept Comp Sci, New Paltz, NY 12561 USA
基金
中国国家自然科学基金;
关键词
Software-defined networking; Performance evaluation; Queueing model; SDN controllers; OpenFlow switches; PACKET-TRAIN; SYSTEM;
D O I
10.1016/j.comnet.2016.03.005
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
OpenFlow is one of the most famous protocols for controller-to-switch communications in software-defined networking (SDN), commonly seen as a promising way towards future Internet. Understanding the performance and limitation of OpenFlow-based SDN is a prerequisite of its deployments. To achieve this aim, this paper proposes a novel analytical performance model of OpenFlow networks based on queueing theory. After depicting a typical network scenario of OpenFlow deployments, we model the packet forwarding of its OpenFlow switches and the packet-in message processing of its SDN controller respectively as the queueing systems M-x/M/1 and M/G/1. Subsequently, we build a queueing model of OpenFlow networks in terms of packet forwarding performance, and solve its closed-form expression of average packet sojourn time and the corresponding probability density function. Finally, the numerical analysis is carried out to evaluate our proposed performance model with different parameter values. Furthermore, our controller model is contrasted with the classical one by utilizing the popular benchmark Cbench. Experimental results indicate that our controller model provides a more accurate approximation of SON controller performance. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:172 / 185
页数:14
相关论文
共 50 条
  • [21] Buffer Size Evaluation of OpenFlow Systems in Software-Defined Networks
    Mondal, Ayan
    Misra, Sudip
    Maity, Ilora
    IEEE SYSTEMS JOURNAL, 2019, 13 (02): : 1359 - 1366
  • [22] AMOPE: Performance Analysis of OpenFlow Systems in Software-Defined Networks
    Mondal, Ayan
    Misra, Sudip
    Maity, Ilora
    IEEE SYSTEMS JOURNAL, 2020, 14 (01): : 124 - 131
  • [23] SDM2Cast An OpenFlow-Based, Software-Defined Scalable Multimedia Multicast Streaming Framework
    Yang, Jian
    Yang, Enzhong
    Ran, Yongyi
    Chen, Shuangwu
    IEEE INTERNET COMPUTING, 2015, 19 (04) : 36 - 44
  • [24] Design and performance evaluation of an OpenFlow-based control plane for software-defined elastic optical networks with direct-detection optical OFDM (DDO-OFDM) transmission
    Liu, Lei
    Peng, Wei-Ren
    Casellas, Ramon
    Tsuritani, Takehiro
    Morita, Itsuro
    Martinez, Ricardo
    Munoz, Rauel
    Yoo, S. J. B.
    OPTICS EXPRESS, 2014, 22 (01): : 30 - 40
  • [25] Mitigating DDoS Attacks Using OpenFlow-Based Software Defined Networking
    Jonker, Mattijs
    Sperotto, Anna
    INTELLIGENT MECHANISMS FOR NETWORK CONFIGURATION AND SECURITY, 2015, 9122 : 129 - 133
  • [26] Multipath protection for data center services in OpenFlow-based software defined elastic optical networks
    Yang, Hui
    Cheng, Lei
    Yuan, Jian
    Zhang, Jie
    Zhao, Yongli
    Lee, Young
    OPTICAL FIBER TECHNOLOGY, 2015, 23 : 108 - 115
  • [27] Lightweight Automatic Discovery Protocol for OpenFlow-Based Software Defined Networking
    Jia, Yongzhe
    Xu, Lei
    Yang, Yuwang
    Zhang, Xiaoling
    IEEE COMMUNICATIONS LETTERS, 2020, 24 (02) : 312 - 315
  • [28] Towards OpenFlow Based Software Defined Networks
    Chhikara, Pallavi
    Matharu, Gurpreet Singh
    Deep, Vikas
    2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC), 2014, : 477 - 482
  • [29] OpenFlow Based Load Balancing for Software-Defined Network Applications
    Rofie, S. A. Mohamad
    Ramli, I.
    Redzwan, K. N.
    Hassan, S. M. Mohd
    Ibrahim, M. S. B.
    ADVANCED SCIENCE LETTERS, 2018, 24 (02) : 1210 - 1213
  • [30] A Secured OpenFlow-Based Software Defined Networking Using Dynamic Bayesian Network
    Sophakan, Natnaree
    Sathitwiriyawong, Chanboon
    2019 19TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2019), 2019, : 1517 - 1522