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Sdn And Nfv: A New Dimension To Virtualization

Gupta, Brij B, Dahiya, Amrita and BENKHELIFA, Elhadj (2024) Sdn And Nfv: A New Dimension To Virtualization. World Scientific Publishing Co. ISBN 978-981-12-5598-4

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Official URL: https://doi.org/10.1142/12794

Abstract or description

Software-defined network (SDN) and network function virtualization (NFV) are two technology trends that have revolutionized network management, particularly in highly distributed networks that are used in public, private, or hybrid cloud services. SDN and NFV technologies, when combined, simplify the deployment of network resources, lower capital and operating expenses, and offer greater network flexibility. The increasing usage of NFV is one of the primary factors that make SDN adoption attractive. The integration of these two technologies; SDN and NFV, offer a complementary service, with NFV delivering many of the real services controlled in an SDN. While SDN is focused on the control plane, NFV optimizes the actual network services that manage the data flows. Devices such as routers, firewalls, and VPN terminators are replaced with virtual devices that run on commodity hardware in NFV physical networking. This resembles the 'as-a-service' typical model of cloud services in many aspects. These virtual devices can be accessed on-demand by communication, network, or data center providers.

This book illustrates the fundamentals and evolution of SDN and NFV and highlights how these two technologies can be integrated to solve traditional networking problems. In addition, it will focus on the utilization of SDN and NFV to enhance network security, which will open ways to integrate them with current technologies such as IoT, edge computing and blockchain, SDN-based network programmability, and current network orchestration technologies. The basics of SDN and NFV and associated issues, challenges, technological advancements along with advantages and risks of shifting networking paradigm towards SDN are also discussed. Detailed exercises within the book and corresponding solutions are available online as accompanying supplementary material.

Item Type: Book / Proceeding
Faculty: School of Digital, Technologies and Arts > Computer Science, AI and Robotics
Depositing User: Elhadj BENKHELIFA
Date Deposited: 27 Nov 2025 16:49
Last Modified: 27 Nov 2025 16:49
URI: https://eprints.staffs.ac.uk/id/eprint/9407

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