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Automatic configuration of routing control platforms in OpenFlow networks

Published: 27 August 2013 Publication History

Abstract

RouteFlow provides a way to run routing control platforms (e.g. Quagga) in OpenFlow networks. One of the issues of RouteFlow is that an administrator needs to devote a lot of time (typically 7 hours for 28 switches) in manual configurations. We propose and demonstrate a framework that can automatically configure RouteFlow. For this demonstration, we use an emulated pan-European topology of 28 switches. In the demonstration, we stream a video clip from a server to a remote client, and show that the video clip reaches at the remote client within 4 minutes (including the configuration time). In addition, we show automatic configuration of RouteFlow using a GUI (Graphical User Interface).

References

[1]
C. E. Rothenberg et al., Revisiting Routing Control Platforms with the Eyes and Muscles of Software Defined Networking, HotSDN, 2012
[2]
OFELIA Testbed: http://www.fp7-ofelia.eu/
[3]
Topology Discovery module: https://github.com/ noxrepo/nox-classic/wiki/Discovery
[4]
Open vSwitch: http://openvswitch.org/
[5]
S. D. Maesschalck et al., Pan-European optical transport networks: an availability-based comparison, Photonic Network Communications, 2003

Cited By

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  • (2021)Route Path Selection Optimization Scheme Based Link Quality Estimation and Critical Switch Awareness for Software Defined NetworksApplied Sciences10.3390/app1119910011:19(9100)Online publication date: 29-Sep-2021
  • (2020)Enabling Fast Failure Recovery in OpenFlow networks using RouteFlow2020 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN10.1109/LANMAN49260.2020.9153270(1-6)Online publication date: Jul-2020
  • (2017)CityFlow, enabling quality of service in the Internet: Opportunities, challenges, and experimentation2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)10.23919/INM.2017.7987289(272-280)Online publication date: May-2017
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  1. Automatic configuration of routing control platforms in OpenFlow networks

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    Published In

    cover image ACM SIGCOMM Computer Communication Review
    ACM SIGCOMM Computer Communication Review  Volume 43, Issue 4
    October 2013
    595 pages
    ISSN:0146-4833
    DOI:10.1145/2534169
    Issue’s Table of Contents
    • cover image ACM Conferences
      SIGCOMM '13: Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
      August 2013
      580 pages
      ISBN:9781450320566
      DOI:10.1145/2486001
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 August 2013
    Published in SIGCOMM-CCR Volume 43, Issue 4

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    Author Tags

    1. openflow
    2. quagga
    3. virtualization

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    Cited By

    View all
    • (2021)Route Path Selection Optimization Scheme Based Link Quality Estimation and Critical Switch Awareness for Software Defined NetworksApplied Sciences10.3390/app1119910011:19(9100)Online publication date: 29-Sep-2021
    • (2020)Enabling Fast Failure Recovery in OpenFlow networks using RouteFlow2020 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN10.1109/LANMAN49260.2020.9153270(1-6)Online publication date: Jul-2020
    • (2017)CityFlow, enabling quality of service in the Internet: Opportunities, challenges, and experimentation2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)10.23919/INM.2017.7987289(272-280)Online publication date: May-2017
    • (2016)FlowMap: Improving network management with SDNNOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS.2016.7502907(821-824)Online publication date: Apr-2016
    • (2016)Joint Optimization of Flow Latency in Routing and Scheduling for Software Defined Networks2016 25th International Conference on Computer Communication and Networks (ICCCN)10.1109/ICCCN.2016.7568535(1-8)Online publication date: Aug-2016
    • (2014)Software-Defined Networking: Guidelines for Experimentation and Validation in Large-Scale Real World ScenariosProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications10.1007/978-3-662-44722-2_5(38-47)Online publication date: 2014
    • (2017)Automatic Custom Generation of Topologies and Configuration of Routing protocols in SDNProceedings of the SIGCOMM Posters and Demos10.1145/3123878.3131966(3-5)Online publication date: 22-Aug-2017
    • (2017)ParaFlowJournal of Network and Computer Applications10.1016/j.jnca.2017.03.00987:C(46-59)Online publication date: 1-Jun-2017
    • (2014)Demonstrating resilient quality of service in Software Defined Networking2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFCOMW.2014.6849191(133-134)Online publication date: Apr-2014
    • (2014)Implementing Quality of Service for the Software Defined Networking Enabled Future InternetProceedings of the 2014 Third European Workshop on Software Defined Networks10.1109/EWSDN.2014.36(49-54)Online publication date: 1-Sep-2014
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