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Journal ArticleDOI

An approach based on Yet Another Next Generation for software-defined networking management

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This article is published in International Journal of Communication Systems.The article was published on 2021-05-20. It has received 0 citations till now. The article focuses on the topics: Software-defined networking & Network management.

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Journal ArticleDOI

Software-Defined Networking: A Comprehensive Survey

TL;DR: This paper presents an in-depth analysis of the hardware infrastructure, southbound and northbound application programming interfaces (APIs), network virtualization layers, network operating systems (SDN controllers), network programming languages, and network applications, and presents the key building blocks of an SDN infrastructure using a bottom-up, layered approach.
Journal ArticleDOI

Improving network management with software defined networking

TL;DR: Three problems in network management are identified: enabling frequent changes to network conditions and state, providing support for network configuration in a highlevel language, and providing better visibility and control over tasks for performing network diagnosis and troubleshooting.
Journal ArticleDOI

The road to SDN: an intellectual history of programmable networks

TL;DR: The intellectual history of programmable networks, including active networks, early efforts to separate the control and data plane, and more recent work on OpenFlow and network operating systems are traced.
Journal ArticleDOI

A comprehensive survey on machine learning for networking: evolution, applications and research opportunities

TL;DR: This survey delineates the limitations, give insights, research challenges and future opportunities to advance ML in networking, and jointly presents the application of diverse ML techniques in various key areas of networking across different network technologies.
Proceedings ArticleDOI

A knowledge plane for the internet

TL;DR: It is argued that cognitive techniques, rather than traditional algorithmic approaches, are best suited to meeting the uncertainties and complexity of the objective of network research.
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