A Unified Framework for 5G Network Management Tools

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • Nokia Siemens Networks
  • VTT Technical Research Centre of Finland
  • Helsinki School of Economics

Kuvaus

Limitations in the software architecture of current network management tools such as lack of support for combined batch and real time data processing, adaptive machine learning, support for heterogeneous data sources and the fragmentation of emerging solutions needs to be addressed in order to create a solid and forward leaning foundation for implementing 5G solutions. To address these limitations, this paper introduces the extended lambda architecture (ELA). It focuses on bringing agility and continuous learning based decision making support into the design of a unified architectural framework for new network management tools by combining batch and real time data processing with adaptive machine learning in a simple Monitor-Analyze-Plan-Execute over a shared Knowledge (MAPE-K) loop. The benefits of using this architecture are evaluated using a proof of concept (PoC) implementation of a reliable and proactive tool for detection and compensation of cell outages in a simulated 5G network.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018
TilaJulkaistu - 2 tammikuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE International Conference on Service-Oriented Computing and Applications - Paris, Ranska
Kesto: 20 marraskuuta 201822 marraskuuta 2018
Konferenssinumero: 11

Julkaisusarja

NimiIEEE International Conference on Service-Oriented Computing and Applications
KustantajaIEEE
ISSN (painettu)2163-2871

Conference

ConferenceIEEE International Conference on Service-Oriented Computing and Applications
LyhennettäSOCA
MaaRanska
KaupunkiParis
Ajanjakso20/11/201822/11/2018

ID: 32267728