Applications of Artificial Intelligence and Machine Learning in the Area of SDN and NFV: A Survey

被引：0
|
作者：
Gebremariam, Anteneh A. [1 ]
Usman, Muhammad [2 ]
Qaraqe, Marwa [2 ]
机构：
[1] Univ Trento, Dept Informat Engn & Comp Sci DISI, Trento, Italy
[2] HBKU, Coll Sci & Engn, Informat & Comp Technol, Doha 34110, Qatar
来源：
2019 16TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD) | 2019年
关键词：
5G networks; Machine learning; Deep learning; SDN; NFV; Data analytics; Network planning; Network security; Network management and operations;
D O I：
10.1109/ssd.2019.8893244
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：545 / 549
页数：5
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