Abstract
This paper presents a review of recent advancements in network automation, such as Intent-based Networking (IBN), network orchestration, automation tools, network analytics, Software-defined Networking (SDN), and cloud-native networking, and examines their potential impact on various applications. It highlights the benefits, challenges, and potential applications of these developments and notes that the adoption of network automation has grown significantly in recent years and is projected to continue to do so. Nevertheless, to optimize outcomes, organizations must cautiously evaluate their network automation requirements and select appropriate tools and techniques that align with their business goals and objectives. The paper concludes by considering future possibilities for network automation and research directions that can help to enhance this field.
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Acknowledgement
This work has been performed under the IoTalentum project within the framework of Marie Skłodowska-Curie Actions ITN-ETN (grant number 953442) which is funded by the European Union Horizon 2020 research and innovation program.
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Abbasi, M., Prieto, J., Corchado, J.M. (2023). Network Automation: From Intent-Based Networking to Cloud-Native Networking. In: Mehmood, R., et al. Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-031-38318-2_41
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DOI: https://doi.org/10.1007/978-3-031-38318-2_41
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