Advertisement

Design and Development of VXLAN Based Cloud Overlay Network Monitoring System and Environment

  • Shahzada Khurram
  • Osman Ghazali
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 738)

Abstract

Now a day’s individuals and organizations are adopting cloud at a faster rate, due to which cloud traffic is increasing at a pace which is difficult to manage (Mamta Madan, Int J Cloud Comput Serv Archit 4:9–20, 2014). The virtualization plays a vital role to implement cloud computing but virtualization technologies add an additional level of complexity for the consumers and cloud providers. Cloud overlay network technology introduces the same visibility challenges as most exist for encapsulation methods. In this paper we present Virtual eXtensible LANs (VXLAN) based packet capturing and filtering mechanism for cloud overlay networks. This mechanism can provide cloud users and providers, detail visibility and information of VXLAN based network traffic traversing in cloud environment. Furthermore, we present design and development of real time VXLAN based virtual cloud overlay network environment. The proposed mechanism was tested in the Linux operating system based virtual environment.

Keywords

Cloud Monitoring Overlay networks Vxlan Flow monitoring 

References

  1. 1.
    M.M. Mamta Madan, Cloud network management model -A novel approach to manage cloud traffic. Int. J. Cloud Comput. Serv. Archit. 4, 9–20 (2014)Google Scholar
  2. 2.
    S. Khurram, O. Ghazali, F. Shahzad, A.S. Osman, A survey of cloud monitoring: high level, low level, underlay and overlay. in NETAPPS2015, (2015), pp. 1–7Google Scholar
  3. 3.
    M. Mahalingam, Virtual eXtensible Local Area Network (VXLAN): A Framework for Overlaying Virtualized Layer 2 Networks over Layer 3 Networks, (2014)Google Scholar
  4. 4.
    K.D.M. Sridharan, A. Greenberg, N. Venkataramiah, Y. Wang, K. Duda, I. Ganga, G. Lin, M. Pearson, NVGRE: Network virtualization using generic routing encapsulation, (2012) Google Scholar
  5. 5.
    B. Davie, J. Gross, A stateless transport tunneling protocol for network virtualization (STT). Draft-Davie-Stt-06, (2012), pp. 1–21Google Scholar
  6. 6.
    N. Bitar, S. Gringeri, J.X. Tiejun, Technologies and protocols for data center and cloud networking. IEEE Commun. Mag. 51, 24–31 (2013)CrossRefGoogle Scholar
  7. 7.
    K. Fatema, V.C. Emeakaroha, P.D. Healy, J.P. Morrison, T. Lynn, A survey of cloud monitoring tools: taxonomy, capabilities and objectives. J. Parallel Distrib. Comput. 74(10), 2918–2933 (2014)CrossRefGoogle Scholar
  8. 8.
    A. Viratanapanu, A. Kamil, A. Hamid, Y. Kawahara, T. Asami, On demand fine grain resource monitoring system for server consolidation. 2010 ITU-T Kaleidoscope: beyond the Internet?—Innovations for Future Networks and Services, (2010), pp. 1–8Google Scholar
  9. 9.
    Ubuntu Server—for scale out workloads | Ubuntu. [Online]. https://www.ubuntu.com/server. Accessed 23 Sept 2017
  10. 10.
    Open vSwitch. [Online]. http://openvswitch.org/. Accessed 23 Sept 2017
  11. 11.
    G. Sadasivan, J. Brownlee, B. Claise, J. Quittek, Architecture for IP flow information export. RFC EditorGoogle Scholar
  12. 12.
    Mininet: An Instant Virtual Network on your Laptop (or other PC)—Mininet. [Online]. http://mininet.org/. Accessed 23 Sept 2017
  13. 13.
    OpenFlow-Enabling Innovation in Your Network. [Online]. http://openflow.org/. Accessed 23 Sept 2017
  14. 14.
    Welcome to Python.org. [Online]. https://www.python.org/. Accessed 23 Sept 2017
  15. 15.
    S.M.V. Jacobson, C. Leres, The libpcap packet capture libraryGoogle Scholar
  16. 16.
    L. Braun, A. Didebulidze, N. Kammenhuber, G. Carle, Comparing and improving current packet capturing solutions based on commodity hardware. in Proceedings of the 10th Annual Conference on Internet Measurement—IMC ’10, (2010), p. 206Google Scholar
  17. 17.
    L. Deri, PF_Ring, (2012), [Online]. http://www.ntop.org/products/packet-capture/pf_ring/
  18. 18.
    T. Zseby, F. Fokus, M. Molina, F. Raspall, Sampling and Filtering Techniques for IP Packet Selection. RFC 5475Google Scholar
  19. 19.
    iPerf—The TCP, UDP and SCTP network bandwidth measurement tool. [Online]. https://iperf.fr/. Accessed 25 Sept 2017
  20. 20.
    YAF—Yet Another Flowmeter. [Online]. https://tools.netsa.cert.org/yaf/. Accessed 25 Sept 20

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Shahzada Khurram
    • 1
  • Osman Ghazali
    • 1
  1. 1.Department of Computer ScienceSchool of Computing, Universiti Utara MalaysiaKedahMalaysia

Personalised recommendations