D3.4 Second implementation of the interworking reference model

Pérez, Ramón; Zabala, Aitor; Pergolesi, M.; Femminella, Mauro; Francesco, Franco; Salsano, P. Lungaroni; Melazzi, Nicola Blefari; Bernini, Giacomo; Agueci, Leonardo; Landi, Giada; Aravinthan, Gopolasingham; Roselló, Marc Mollà; García-Reinoso, Jaime; Yañez-Mingot, Pablo Serrano; Panek, Grzegorz; Contreras, Luis M.; Luque, Lourdes; Rodriguez, Joaquı́n V.; Álvarez, Federico; Jiménez, David Megías; Serrano, J.; Río, Alberto del; Vlacheas, Panagiotis; Foteinos, Vassilis; Belikaidis, I.; Kosmatos, V.; Trichias, K.; Skalidi, A.; Ntogkas, C.; Gkiolias, Athanasios; Chondroulis, I.; Demou, A.; Athanesselis, A.; Mitrou, M.

doi:10.5281/zenodo.3946323

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, the Metrics Management entity instructs each MEF to extract metrics from its monitored component and to make them available to the upper layer (i.e., the Broker system, which will be described next). It is important to remark that all these metrics have to follow an homogeneous format (e.g., the one defined in [19]) to satisfy constraint (6) presented before. This might require a translation from a proprietary or different standard formats to the one used by the monitoring platform, in order to handle all the messages received from the MEFs in an unified way.…”

Section: Monitoring Architecture Overviewmentioning

confidence: 99%

An experimental publish-subscribe monitoring assessment to Beyond 5G networks

Pérez

García-Reinoso

Zabala³

et al. 2021

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

The fifth generation (5G) of mobile networks is designed to accommodate different types of use cases, each of them with different and stringent requirements and key performance indicators (KPIs). To support the optimization of the network performance and validation of the KPIs, there exist the necessity of a flexible and efficient monitoring system and capable of realizing multi-site and multi-stakeholder scenarios. Nevertheless, for the evolution from 5G to 6G, the network is envisioned as a user-driven, distributed Cloud computing system where the resource pool is foreseen to integrate the participating users. In this paper, we present a distributed monitoring architecture for Beyond 5G multi-site platforms, where different stakeholders share the resource pool in a distributed environment. Taking advantage of the usage of publish-subscribe mechanisms adapted to the Edge, the developed lightweight monitoring solution can manage large amounts of real-time traffic generated by the applications located in the resource pool. We assess the performance of the implemented paradigm, revealing some interesting insights about the platform, such as the effect caused by the throughput of monitoring data in performance parameters such as the latency and packet loss, or the presence of a saturation effect due to software limitations that impacts in the performance of the system under specific conditions. In the end, the performance evaluation process has confirmed that the monitoring platform suits the requirements of the proposed scenarios, being capable of handling similar workloads in real 5G and Beyond 5G scenarios, then discussing how the architecture could be mapped to these real scenarios.

show abstract

Section: Monitoring Architecture Overviewmentioning

confidence: 99%