2021
Kakkavas, G.; Stamou, A.; Karyotis, V.; Papavassiliou, S.
Network Tomography for Efficient Monitoring in SDN-Enabled 5G Networks and Beyond: Challenges and Opportunities Journal Article
In: IEEE Communications Magazine, vol. 59, no. 3, pp. 70-76, 2021, ISSN: 01636804, (cited By 29).
Abstract | Links | BibTeX | Tags: 5G mobile communication systems, Accurate estimation; Efficient monitoring; Monitoring approach; Monitoring techniques; Network monitoring tools; Performance metrics; Software defined networking (SDN); Vehicular networks, Application programs; Monitoring; Queueing networks
@article{Kakkavas202170,
title = {Network Tomography for Efficient Monitoring in SDN-Enabled 5G Networks and Beyond: Challenges and Opportunities},
author = {G. Kakkavas and A. Stamou and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105611912&doi=10.1109%2fMCOM.001.2000458&partnerID=40&md5=16953d3d2cba346d5c5b36d400f023c4},
doi = {10.1109/MCOM.001.2000458},
issn = {01636804},
year = {2021},
date = {2021-01-01},
journal = {IEEE Communications Magazine},
volume = {59},
number = {3},
pages = {70-76},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Efficient monitoring plays a vital role in software-defined networking (SDN)-enabled 5G networks, involving the monitoring of performance metrics for both physical and virtual networks and considering the requirements of a variety of traffic types originating from different applications. However, conventional network monitoring tools based on traditional IP-based mechanisms may not be able to keep up with the dynamic nature of 5G networks. Network tomography (NT) is an emerging monitoring approach that estimates network performance based on measurements realized at a limited subset of network elements, presenting benefits over traditional monitoring techniques, but susceptible to identifiability issues. In this article, we demonstrate how NT can respond to current monitoring challenges, complementing and working together with SDN, yielding accurate estimations with low overhead, while exploiting SDN capabilities such as the centralized view of the entire network, direct flow-level measurements, and controllable routing. Furthermore, we present the spectrum of applications of NT-based solutions in 5G networks and beyond, ranging from virtual to vehicular networks. © 1979-2012 IEEE.},
note = {cited By 29},
keywords = {5G mobile communication systems, Accurate estimation; Efficient monitoring; Monitoring approach; Monitoring techniques; Network monitoring tools; Performance metrics; Software defined networking (SDN); Vehicular networks, Application programs; Monitoring; Queueing networks},
pubstate = {published},
tppubtype = {article}
}
Efficient monitoring plays a vital role in software-defined networking (SDN)-enabled 5G networks, involving the monitoring of performance metrics for both physical and virtual networks and considering the requirements of a variety of traffic types originating from different applications. However, conventional network monitoring tools based on traditional IP-based mechanisms may not be able to keep up with the dynamic nature of 5G networks. Network tomography (NT) is an emerging monitoring approach that estimates network performance based on measurements realized at a limited subset of network elements, presenting benefits over traditional monitoring techniques, but susceptible to identifiability issues. In this article, we demonstrate how NT can respond to current monitoring challenges, complementing and working together with SDN, yielding accurate estimations with low overhead, while exploiting SDN capabilities such as the centralized view of the entire network, direct flow-level measurements, and controllable routing. Furthermore, we present the spectrum of applications of NT-based solutions in 5G networks and beyond, ranging from virtual to vehicular networks. © 1979-2012 IEEE.