Abstract
Software-Defined Networking is no longer just a paradigm, but a novel architecture that is gaining momentum in the industry, covering all aspects of a network, from campus networks and data-centers, to optical transport and microwave networks. In Wireless Transport networks, the emergence of the Microwave Information Model, ONF TR-532, in late December 2016, is an important milestone in integrating SDN into such networks. Having the right tools for evaluating the model and for developing SDN applications based on it, is very important. This paper proposes an architecture of a Wireless Transport Network Emulator (WTE), based on TR-532, which enables SDN application developers to implement and test such software programs, based on the microwave model, without the need of owning expensive wireless transport devices in the process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kreutz, D., Ramos, F.M., Verissimo, P.E., Rothenberg, C.E., Azodolmolky, S., Uhlig, S.: Software-defined networking: a comprehensive survey. Proc. IEEE 103(1), 14–76 (2015)
Wireless Transport SDN Proof of Concept White Paper, September 2015. https://www.opennetworking.org/images/stories/downloads/sdn-resources/white-papers/ONF_Microwave_SDN_PoC_White_Paper%20v1.0.pdf
Wireless Transport SDN Proof of Concept 2 Detailed Report, June 2016. https://www.opennetworking.org/images/stories/downloads/sdn-resources/technical-reports/Wireless_Transport_SDN_PoC_White_Paper.pdf
Third Wireless Transport SDN Proof of Concept White Paper, December 2016. https://www.opennetworking.org/images/stories/downloads/sdn-resources/technical-reports/Third-Wireless-Transport-SDN-Proof-of-Concept-White-Paper.pdf
ONF TR-532 – “Microwave Information Model”, Version 1.0. https://www.opennetworking.org/images/stories/downloads/sdn-resources/technical-reports/TR-532-Microwave-Information-Model-V1.pdf
Heller, B.: Reproducible network research with high-fidelity emulation. Ph.D. thesis. Stanford University (2013)
Lantz, B., O’Connor, B.: A mininet-based virtual testbed for distributed SDN development. ACM SIGCOMM Comput. Commun. Rev. 45(5), 365–366 (2015)
Lisa, Y., McKeown, N.: Learning networking by reproducing research results. ACM SIGCOMM Comput. Commun. Rev. 47(2), 19–26 (2017)
Riley, G.F., Henderson, T.R.: The ns-3 network simulator. In: Wehrle, K., Güneş, M., Gross, J. (eds.) Modeling and Tools for Network Simulation, pp. 15–34. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12331-3_2
Wang, S.-Y., Chou, C.-L., Yang, C.-M.: EstiNet OpenFlow network simulator and emulator. IEEE Commun. Mag. 51(9), 110–117 (2013)
Stancu, A., Vulpe, A., Fratu, O., Halunga, S.: Default values mediator used for a wireless transport SDN Proof of Concept. In: 2016 IEEE Conference on Standards for Communications and Networking (CSCN), Berlin, pp. 1–6 (2016). https://doi.org/10.1109/cscn.2016.7784889
Acknowledgements
This work was supported by a grant of the Ministry of Innovation and Research, UEFISCDI, project number 5 Sol/2017 within PNCDI III and partially funded by UEFISCDI Romania under grant no. 60BG/2016 Intelligent communications system based on integrated infrastructure, with dynamic display and alerting - SICIAD and by University Politehnica of Bucharest, through the Excellence Research Grants Program, UPB GEX, Identifier: UP - BEXCELENTA2016, project Platform for Studying Security in IoT, contract number 96/2016 (PaSS-IoT).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Stancu, A., Vulpe, A., Halunga, S., Fratu, O. (2018). Architecture of a Wireless Transport Network Emulator for SDN Applications Development. In: Fratu, O., Militaru, N., Halunga, S. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-92213-3_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-92213-3_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-92212-6
Online ISBN: 978-3-319-92213-3
eBook Packages: Computer ScienceComputer Science (R0)