@inproceedings{c318ca6b01c64fc0a1c61d39f2ce90e7,
title = "Applications of artificial intelligence and machine learning in the area of SDN and NFV: a survey",
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.",
keywords = "5G networks, machine learning, deep learning, SDN, NFV, data analytics, network planning, network security, network management and operations, Network security, Data analytics, Deep learning, Machine learning, Network planning, Network management and operations",
author = "Gebremariam, {Anteneh A.} and Muhammad Usman and Marwa Qaraqe",
year = "2019",
month = nov,
day = "11",
doi = "10.1109/SSD.2019.8893244",
language = "English",
isbn = "9781728118215",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "545--549",
booktitle = "2019 16th International Multi-Conference on Systems, Signals & Devices (SSD)",
address = "United States",
note = "16th International Multi-Conference on Systems, Signals & Devices (SSD), SSD 2019 ; Conference date: 21-03-2019 Through 24-03-2019",
}