Skip to main content
SpringerLink
Log in

Towards to Characterization of Network Management Traffic in OpenStack-Based Clouds

  • Original Research
  • Published:
SN Computer Science Aims and scope Submit manuscript

Abstract

OpenStack is versatile and popular, allowing full customization for creating private or public IaaS clouds. This work addresses a network traffic analysis and characterization for the management domain inside OpenStack clouds. We conduct an induced lifecycle to execute virtual machine (VM)-related tasks, measure the traffic, and identify the services behind the traffic generated by these operations. Also, we analyze the impact of different images of operating systems (OSs) and VM’s flavor in the measured traffic. Moreover, we observe that predicting the volume of network traffic from operations, such as creation and shelving instances of VMs, helps estimate bandwidth boundaries, avoiding bottlenecks, for example.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Data availability

A summarized dataset was published on Zenodo [8]. Tools were developed in Python 3.6, combining TCPdump for packet collection, and OpenStack Python APIs for handling the VMs: https://github.com/Adnei/openstack_monitor. The tool developed to identify teh traffic by service is available on: https://github.com/Adnei/service_identifier.

Notes

  1. Developed in Python 3.6, combining TCPdump for packet collection, and OpenStack Python APIs for handling the VMs: github.com/Adnei/openstack_monitor.

  2. Service Identified: github.com/Adnei/service_identifier.

References

  1. Aishwarya K, Sankar S. Traffic analysis using hadoop cloud. In: (ICIIECS), 2015. pp. 1–6. https://doi.org/10.1109/ICIIECS.2015.7192872.

  2. Alenezi M, Almustafa K, Meerja KA. Cloud based sdn and nfv architectures for iot infrastructure. Egypt Inf J. 2019;20(1):1–10. https://doi.org/10.1016/j.eij.2018.03.004.

    Article  Google Scholar 

  3. Bruneo D. A stochastic model to investigate data center performance and qos in iaas cloud computing systems. IEEE Trans Parallel Distrib Syst. 2014;25(3):560–9. https://doi.org/10.1109/TPDS.2013.67.

    Article  Google Scholar 

  4. Chaudhary R, Aujla GS, Kumar N, Rodrigues JJPC. Optimized big data management across multi-cloud data centers: Software-defined-network-based analysis. IEEE Commun Mag. 2018;56(2):118–26. https://doi.org/10.1109/MCOM.2018.1700211.

    Article  Google Scholar 

  5. Dainotti A, Pescape A, Claffy KC. Issues and future directions in traffic classification. IEEE Netw. 2012;26(1):35–40.

    Article  Google Scholar 

  6. Dainotti A, Pescape A, Ventre G. A packet-level characterization of network traffic. In: 2006 11th International Workshop on Computer-Aided Modeling, Analysis and Design of Communication Links and Networks, 2006. pp. 38–45. https://doi.org/10.1109/CAMAD.2006.1649716.

  7. Donatti A, Miers C, Koslovski G, Pillon M, Carvalho T. Characterization of network management traffic in openstack based on virtual machine state changes. In: Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER. INSTICC, SciTePress, 2021. pp. 232–239. https://doi.org/10.5220/0010447102320239.

  8. Donatti AW. Administrative openstack traffic. 2021. https://doi.org/10.5281/zenodo.5785494.

  9. Donatti AW, Koslovski GP, Pillon MA, Miers CC. Network traffic characterization in the control network of openstack based on virtual machines state changes. In: Proc. 10th CLOSER, SciTePress, 2020. pp. 347–354. https://doi.org/10.5220/0009404203470354.

  10. Finsterbusch M, Richter C, Rocha E, Muller J, Hanssgen K. A survey of payload-based traffic classification approaches. IEEE Comm Surveys Tutor. 2014;16(2):1135–56. https://doi.org/10.1109/SURV.2013.100613.00161.

    Article  Google Scholar 

  11. Flittner M, Bauer R. Trex: Tenant-driven network traffic extraction for sdn-based cloud environments. In: 2017 Fourth International Conference on Software Defined Systems (SDS), 2017. pp. 48–53. https://doi.org/10.1109/SDS.2017.7939140.

  12. Gustamas RG, Shidik GF. Analysis of network infrastructure performance on cloud computing. In: 2017 International Seminar on Application for Technology of Information and Communication (iSemantic), 2017. pp. 169–174. https://doi.org/10.1109/ISEMANTIC.2017.8251864.

  13. Maswood MMS, Medhi D. Optimal connectivity to cloud data centers. In: 2017 IEEE 6th International Conference on Cloud Networking (CloudNet), 2017. pp. 1–6.

  14. OpenStack: What to do when things are running slowly. https://docs.openstack.org/operations-guide/ops-maintenance-slow.html. Accessed 13 Aug 2020.

  15. OpenStack: Openstack docs: Connection. https://docs.openstack.org/openstacksdk/latest/user/connection.html, 2018. Accessed 15 Jul 2020.

  16. OpenStack: Provision an instance, 2018. https://docs.openstack.org/operations-guide/ops-customize-provision-instance.html.

  17. OpenStack: Networking architecture, 2019. https://docs.openstack.org/security-guide/networking/architecture.html.

  18. OpenStack: Openstack documentation. https://docs.openstack.org, 2019. Accessed 15 Jul 2020.

  19. OpenStack: What is openstack? 2019. https://www.openstack.org/software.

  20. OpenStack: Message queuing. https://docs.openstack.org/security-guide/messaging.html, 2020. Accessed 22 Jul 2020.

  21. OpenStack: Openstack docs: Conceptual architecture. https://docs.openstack.org/install-guide/get-started-conceptual-architecture.html, 2020. Accessed 15 Jul 2020.

  22. OpenStack: Virtual machine states and transitions, 2023. https://docs.openstack.org/nova/latest/reference/vm-states.html.

  23. Sankari S, Varalakshmi P, Divya B. Network traffic analysis of cloud data centre. In: 2015 International Conference on Computing and Communications Technologies (ICCCT), 2015. pp. 408–413. https://doi.org/10.1109/ICCCT2.2015.7292785.

  24. Sciammarella T, Couto RS, Rubinstein MG, Campista MEM, Costa LHMK. Analysis of control traffic in a geo-distributed collaborative cloud. In: 2016 5th IEEE Cloudnet, 2016. pp. 224–229. https://doi.org/10.1109/CloudNet.2016.14.

  25. Shete S, Dongre N. Analysis amp; auditing of network traffic in cloud environment. In: 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), 2017. pp. 97–100.

  26. Venzano D, Michiardi P. A measurement study of data-intensive network traffic patterns in a private cloud. In: Proc. IEEE/ACM 6th UCC, UCC ’13, IEEE, Washington/DC, USA; 2013. pp. 476–481.

  27. Wiki O. Vmstate. 2014. https://wiki.openstack.org/wiki/VMState. Accessed 22 Jul 2020.

  28. Williamson C. Internet traffic measurement. IEEE Internet Comput. 2001;5(6):70–4. https://doi.org/10.1109/4236.968834.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the support of FAPESC, and LabP2D/UDESC.

Author information

Authors and Affiliations

  1. Graduate Program in Electrical Engineering, Escola Politécnica da Universidade de São Paulo, São Paulo, 05508-010, Brazil

    Adnei W. Donatti & Tereza C. M. B. Carvalho

  2. Graduate Program in Applied Computing, Santa Catarina State University, Joinville, 89219-710, Brazil

    Charles C. Miers, Guilherme P. Koslovski & Maurício A. Pillon

Authors
  1. Adnei W. Donatti
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Charles C. Miers
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Guilherme P. Koslovski
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Maurício A. Pillon
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tereza C. M. B. Carvalho
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Charles C. Miers.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This work was funding by the National Council for Scientific and Technological Development (CNPq).

This article is part of the topical collection “Cloud Computing and Services Science” guest edited by Donald Ferguson, Markus Helfert, and Claus Pahl.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Donatti, A.W., Miers, C.C., Koslovski, G.P. et al. Towards to Characterization of Network Management Traffic in OpenStack-Based Clouds. SN COMPUT. SCI. 4, 450 (2023). https://doi.org/10.1007/s42979-023-01836-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s42979-023-01836-8

Keywords

Search

Navigation