Publication | Closed Access
Applications of Artificial Intelligence and Machine Learning in the Area of SDN and NFV: A Survey
45
Citations
21
References
2019
Year
Unknown Venue
Artificial IntelligenceAutonomous NetworkEngineeringMachine LearningNetwork AnalysisIntelligent SystemsApplication TrackSelf-organizing NetworkData ScienceInternet Of ThingsAdvanced NetworkingSmart NetworkSoftware-defined NetworkingComputer ScienceNetwork Function VirtualizationNetwork ScienceIntelligent NetworkEdge ComputingCloud Computing
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.
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