Cognitive Software Defined Networking and Network Function Virtualization and Applications

Sachin Sharma () and Avishek Nag ()
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Sachin Sharma: School of Electrical and Electronic Engineering, Technological University Dublin, D07 EWV4 Dublin, Ireland
Avishek Nag: School of Electrical and Electronic Engineering, University College Dublin, D04 V1W8 Dublin, Ireland

Future Internet, 2023, vol. 15, issue 2, 1-3

Abstract: The emergence of Software-Defined Networking (SDN) and Network Function Virtualization (NFV) has revolutionized the Internet. Using SDN, network devices can be controlled from a centralized, programmable control plane that is decoupled from their data plane, whereas with NFV, network functions (such as network address translation, firewall, and intrusion detection) can be virtualized instead of being implemented on proprietary hardware. In addition, Artificial Intelligence (AI) and Machine Learning (ML) techniques will be key to automating network operations and enhancing customer service. Many of the challenges behind SDN and NFV are currently being investigated in several projects all over the world using AI and ML techniques, such as AI- and software-based networking, autonomic networking, and policy-based network management. Contributions to this Special Issue come from the above areas of research. Following a rigorous review process, four excellent articles were accepted that address and go beyond many of the challenges mentioned above.

Keywords: SDN; NFV; AI; machine learning; cloud computing (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
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