skip to main content
research-article

An Efficient Network Monitor for SDN Networks

Published:17 January 2019Publication History
Skip Abstract Section

Abstract

With growing services running in clouds, it is critical to defence the services from Distributed Denial of Service (DDoS) attacks. To this end, network traffic should be monitored to detect malicious traffic. Software-defined Networking (SDN) provides a flexible platform for the network monitoring and relies on a central controller to ask switches for traffic statistic to get a global traffic view for security. However, the control plane resources are limited in SDN in terms of controller capacity, network bandwidth, and switch performance. Thus, too much network monitoring will affect data plane traffic performance. To address this issue, we propose SDN-Monitor, which carefully selects switches to monitor to reduce the resource consumption. Moreover, SDN-Monitorre-routes network traffic to further reduce the number of monitored switches.With growing services running in clouds, it is critical to defence the services from Distributed Denial of Service (DDoS) attacks. To this end, network traffic should be monitored to detect malicious traffic. Software-defined Networking (SDN) provides a flexible platform for the network monitoring and relies on a central controller to ask switches for traffic statistic to get a global traffic view for security. However, the control plane resources are limited in SDN in terms of controller capacity, network bandwidth, and switch performance. Thus, too much network monitoring will affect data plane traffic performance. To address this issue, we propose SDN-Monitor, which carefully selects switches to monitor to reduce the resource consumption. Moreover, SDN-Monitorre-routes network traffic to further reduce the number of monitored switches.

References

  1. 2018. Akamai,state of the internet Q4 2017 security report, https://www.akamai.com/us/en/multimedia/documents/state-of-theinternet/ q4--2017-state-of-the-internet-security-report.pdf. (2018).Google ScholarGoogle Scholar
  2. 2018. OpenFlow Switch Specification Version 1.5.1 , https://www.opennetworking.org/wp-content/uploads/2014/10/openflowswitch- v1.5.1.pdf. (2018).Google ScholarGoogle Scholar
  3. Andrew R. Curtis, Jefferey C.Mogul, Jean Tourrilhes, Praveen Yalagandula, Puneet Sharma, and Sujata Banerjee. 2011. DevoFlow: Scaling Flow Management for High-performance Networks. In ACM SIGCOMM '11. 254--265. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Nick McKeown, Tom Anderson, Hari Balakrishnan, Guru Parulkar, Larry Peterson, Jennifer Rexford, Scott Shenker, and Jonathan Turner. 2008. OpenFlow: Enabling Innovation in Campus Networks. ACM SIGCOMM Computer Communication Review 38, 2 (March 2008), 69--74. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. An Efficient Network Monitor for SDN Networks
    Index terms have been assigned to the content through auto-classification.

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in

    Full Access

    • Published in

      cover image ACM SIGMETRICS Performance Evaluation Review
      ACM SIGMETRICS Performance Evaluation Review  Volume 46, Issue 2
      September 2018
      95 pages
      ISSN:0163-5999
      DOI:10.1145/3305218
      Issue’s Table of Contents

      Copyright © 2019 Author

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 17 January 2019

      Check for updates

      Qualifiers

      • research-article

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader