Software Defined Monitoring (SDM) for 5G mobile backhaul networks

Madhusanka Liyanage; Jude Okwuibe; Ijaz Ahmed; Mika Ylianttila; Oscar Lopez Perez; Mikel Uriarte Itzazelaia; Edgardo Montes De Oca

doi:10.1109/LANMAN.2017.7972144

Software Defined Monitoring (SDM) for 5G mobile backhaul networks

Madhusanka Liyanage, Jude Okwuibe, Ijaz Ahmed, Mika Ylianttila, Oscar Lopez Perez, Mikel Uriarte Itzazelaia, Edgardo Montes De Oca

Not published at VTT

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

7 Citations (Scopus)

Abstract

Software Defined Network (SDN) is an advanced approach to designing dynamic, manageable, cost-effective, and adaptable network architectures. SDN will play a key role as an enabler for 5G and future networks. Transferring network monitoring functions to a software entity working in conjunction with configurable hardware accelerators through a scheme called Software Defined Monitoring (SDM) is one promising way to attain the dynamism necessary for the monitoring of the next generation-networks. In this paper, we propose a novel SDM architecture for future mobile backhual networks. As an SDN solution, the proposed architecture provides more granular and dynamic network management functions through its programmable interface, centralized control, and virtualized abstractions. At the same time, the SDM framework intuitively seem prone to various challenges that come with the separation of the control and data planes of middleboxes. This paper collects specific opportunities, vulnerabilities as well as challenges related to SDM. It also highlights how SDM can be used to solve the current limitations in legacy monitoring systems. The feasibility of the proposed SDM architecture is verified by using a testbed implementation.

Original language	English
Title of host publication	LANMAN 2017 - 23rd IEEE International Symposium on Local and Metropolitan Area Networks
Publisher	IEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)	978-1-5386-0728-2
DOIs	https://doi.org/10.1109/LANMAN.2017.7972144
Publication status	Published - 7 Jul 2017
MoE publication type	A4 Article in a conference publication
Event	23rd IEEE International Symposium on Local and Metropolitan Area Networks, LANMAN 2017 - Osaka, Japan Duration: 12 Jun 2017 → 14 Jun 2017

Conference

Conference	23rd IEEE International Symposium on Local and Metropolitan Area Networks, LANMAN 2017
Country/Territory	Japan
City	Osaka
Period	12/06/17 → 14/06/17

Keywords

5G
Monitoring
Network Function Virtualization
Network Security
Software Defined Networking

Access to Document

10.1109/LANMAN.2017.7972144

Cite this

Liyanage, M., Okwuibe, J., Ahmed, I., Ylianttila, M., Perez, O. L., Itzazelaia, M. U., & De Oca, E. M. (2017). Software Defined Monitoring (SDM) for 5G mobile backhaul networks. In LANMAN 2017 - 23rd IEEE International Symposium on Local and Metropolitan Area Networks Article 7972144 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/LANMAN.2017.7972144

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title = "Software Defined Monitoring (SDM) for 5G mobile backhaul networks",

abstract = "Software Defined Network (SDN) is an advanced approach to designing dynamic, manageable, cost-effective, and adaptable network architectures. SDN will play a key role as an enabler for 5G and future networks. Transferring network monitoring functions to a software entity working in conjunction with configurable hardware accelerators through a scheme called Software Defined Monitoring (SDM) is one promising way to attain the dynamism necessary for the monitoring of the next generation-networks. In this paper, we propose a novel SDM architecture for future mobile backhual networks. As an SDN solution, the proposed architecture provides more granular and dynamic network management functions through its programmable interface, centralized control, and virtualized abstractions. At the same time, the SDM framework intuitively seem prone to various challenges that come with the separation of the control and data planes of middleboxes. This paper collects specific opportunities, vulnerabilities as well as challenges related to SDM. It also highlights how SDM can be used to solve the current limitations in legacy monitoring systems. The feasibility of the proposed SDM architecture is verified by using a testbed implementation.",

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Liyanage, M, Okwuibe, J, Ahmed, I, Ylianttila, M, Perez, OL, Itzazelaia, MU & De Oca, EM 2017, Software Defined Monitoring (SDM) for 5G mobile backhaul networks. in LANMAN 2017 - 23rd IEEE International Symposium on Local and Metropolitan Area Networks., 7972144, IEEE Institute of Electrical and Electronic Engineers, 23rd IEEE International Symposium on Local and Metropolitan Area Networks, LANMAN 2017, Osaka, Japan, 12/06/17. https://doi.org/10.1109/LANMAN.2017.7972144

Software Defined Monitoring (SDM) for 5G mobile backhaul networks. / Liyanage, Madhusanka; Okwuibe, Jude; Ahmed, Ijaz et al.
LANMAN 2017 - 23rd IEEE International Symposium on Local and Metropolitan Area Networks. IEEE Institute of Electrical and Electronic Engineers, 2017. 7972144.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Itzazelaia, Mikel Uriarte

AU - De Oca, Edgardo Montes

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Y2 - 12 June 2017 through 14 June 2017

ER -

Software Defined Monitoring (SDM) for 5G mobile backhaul networks

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