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

Liyanage, Madhusanka; Okwuibe, Jude; Ahmed, Ijaz; Ylianttila, Mika; López Pérez, Oscar; Uriarte Itzazelaia, Mikel; Montes de Oca, Edgardo (2017-07-11)
 
Avaa tiedosto
Lataukset: 

URL:
https://doi.org/10.1109/LANMAN.2017.7972144

Liyanage, Madhusanka
Okwuibe, Jude
Ahmed, Ijaz
Ylianttila, Mika
López Pérez, Oscar
Uriarte Itzazelaia, Mikel
Montes de Oca, Edgardo
Institute of Electrical and Electronics Engineers
11.07.2017

M. Liyanage et al., "Software Defined Monitoring (SDM) for 5G mobile backhaul networks," 2017 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), Osaka, 2017, pp. 1-6. doi: 10.1109/LANMAN.2017.7972144

https://rightsstatements.org/vocab/InC/1.0/
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1109/LANMAN.2017.7972144
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2018080733468
Tiivistelmä

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.

Kokoelmat