Applications of artificial intelligence and machine learning in the area of SDN and NFV: a survey

Anteneh A. Gebremariam, Muhammad Usman, Marwa Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have gained a huge interest from academia and industry in solving very complex problems in several fields. In this paper, we present a short survey of the main application areas of AI/ML in SDN and NFV based networks. We classify the main advancements in the area in different categories based on their application track and identify the corresponding AI techniques utilized. In addition, identify and discuss the main challenges and future directions in the area. We stress that AI/ML can play a vital role in providing a way towards self-configured, self-adaptive and self-managed networks. However, the research is limited due the identified challenges in this area.
Original languageEnglish
Title of host publication2019 16th International Multi-Conference on Systems, Signals & Devices (SSD)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages545-549
Number of pages5
ISBN (Electronic)9781728118208
ISBN (Print)9781728118215
DOIs
Publication statusPublished - 11 Nov 2019
Event16th International Multi-Conference on Systems, Signals & Devices (SSD) - Istanbul, Turkey
Duration: 21 Mar 201924 Mar 2019

Publication series

Name
ISSN (Print)2474-0438
ISSN (Electronic)2474-0446

Conference

Conference16th International Multi-Conference on Systems, Signals & Devices (SSD)
Abbreviated titleSSD 2019
Country/TerritoryTurkey
CityIstanbul
Period21/03/1924/03/19

Keywords

  • 5G networks
  • machine learning
  • deep learning
  • SDN
  • NFV
  • data analytics
  • network planning
  • network security
  • network management and operations

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