Efficient topology discovery in OpenFlow-based Software Defined Networks

被引:77
|
作者
Pakzad, Farzaneh [1 ]
Portmann, Marius [1 ]
Tan, Wee Lum [2 ]
Indulska, Jadwiga [1 ]
机构
[1] Univ Queensland, Sch ITEE, Brisbane, Qld, Australia
[2] Griffith Univ, Sch ICT, Brisbane, Qld 4111, Australia
关键词
Software Defined Networks; SDN; Topology discovery;
D O I
10.1016/j.comcom.2015.09.013
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Software Defined Networking (SDN) is a new networking paradigm, with a great potential to increase network efficiency, ease the complexity of network control and management, and accelerate the rate of technology innovation. One of the core concepts of SDN is the separation of the network's control and data plane. The intelligence and the control of the network operation and management, such as routing, are removed from the forwarding elements (switches) and are concentrated in a logically centralised component, i.e. the SDN controller. In order for the controller to configure and manage the network, it needs to have up-to-date information about the state of the network, in particular its topology. Consequently, topology discovery is a critical component of any Software Defined Network architecture. In this paper, we evaluate the efficiency of the de facto standard approach to topology discovery currently implemented by the major SDN controller frameworks, and propose simple and practical modifications, which achieve a significantly improved efficiency and reduced control overhead. We have implemented our new topology discovery approach on the widely used POX controller platform, and have evaluated it for a range of network topologies via experiments using the Mininet network emulator as well as a specific topology in the OFELIA SDN testbed. Our results show that our proposed modifications achieve an up to 40% reduction in controller load compared to the current state-of-the-art approach, while delivering identical discovery functionality. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:52 / 61
页数:10
相关论文
共 50 条
  • [1] Im-OFDP: An Improved OpenFlow-based Topology Discovery Protocol for Software Defined Network
    Gu, Yongpu
    Li, Dong
    Yu, Junqing
    [J]. 2020 IFIP NETWORKING CONFERENCE AND WORKSHOPS (NETWORKING), 2020, : 628 - 630
  • [2] Performances of OpenFlow-Based Software-Defined Networks: An overview
    Benamrane, Fouad
    Ben Mamoun, Mouad
    Benaini, Redouane
    [J]. JOURNAL OF NETWORKS, 2015, 10 (06) : 329 - 337
  • [3] Modeling and Verifying TopoGuard in OpenFlow-Based Software Defined Networks
    Xiang, Shuangqing
    Zhu, Huibiao
    Xiao, Lili
    Xie, Wanling
    [J]. PROCEEDINGS 2018 12TH INTERNATIONAL SYMPOSIUM ON THEORETICAL ASPECTS OF SOFTWARE ENGINEERING (TASE 2018), 2018, : 84 - 91
  • [4] Lightweight Automatic Discovery Protocol for OpenFlow-Based Software Defined Networking
    Jia, Yongzhe
    Xu, Lei
    Yang, Yuwang
    Zhang, Xiaoling
    [J]. IEEE COMMUNICATIONS LETTERS, 2020, 24 (02) : 312 - 315
  • [5] OpenFlow-Based Dynamic Traffic Distribution in Software-Defined Networks
    Chaulagain, Duryodhan
    Pudashine, Kumar
    Paudyal, Rajendra
    Mishra, Sagar
    Shakya, Subarna
    [J]. MOBILE COMPUTING AND SUSTAINABLE INFORMATICS, 2022, 68 : 259 - 272
  • [6] A survey on OpenFlow-based Software Defined Networks: Security challenges and countermeasures
    Li, Wenjuan
    Meng, Weizhi
    Kwok, Lam For
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2016, 68 : 126 - 139
  • [7] Efficient Topology Discovery in Software Defined Networks
    Pakzad, Farzaneh
    Portmann, Marius
    Tan, Wee Lum
    Indulska, Jadwiga
    [J]. 2014 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ICSPCS), 2014,
  • [8] Enforcing Timely Network Policies Installation in OpenFlow-based Software Defined Networks
    Wang, Ting
    Hamdi, Mounir
    Chen, Jie
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [9] Performance evaluation of OpenFlow-based software-defined networks based on queueing model
    Xiong, Bing
    Yang, Kun
    Zhao, Jinyuan
    Li, Wei
    Li, Keqin
    [J]. COMPUTER NETWORKS, 2016, 102 : 172 - 185
  • [10] Modelling of OpenFlow-based software-defined networks: the multiple node case
    Mahmood, Kashif
    Chilwan, Ameen
    Osterbo, Olav
    Jarschel, Michael
    [J]. IET NETWORKS, 2015, 4 (05) : 278 - 284