Software-Defined Networking and Network Function Virtualization

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Network Virtualization and Edge/Fog Computing".

Deadline for manuscript submissions: 20 February 2026 | Viewed by 517

Special Issue Editors

Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Hokkaido 050-8585, Japan
Interests: cloud computing; edge computing; software defined networking; network virtualization; SDN
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College of Information and Systems, Muroran Institute of Technology, 27-1, Mizumoto-cho, Muroran 050-8585, Hokkaido, Japan
Interests: disease identification; emotion recognition; personal identification; deep learning; data mining

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Guest Editor
School of Information Technology, Tianjin University of Commerce, Tianjin 300131, China
Interests: software defined networking; data center networking

Special Issue Information

Dear Colleagues,

In today’s hyperconnected environment, Software-Defined Networking (SDN) and Network Function Virtualization (NFV) have emerged as pivotal paradigms shaping the future of networking. These approaches enhance agility, scalability, and efficiency across diverse network infrastructures by decoupling network control from the underlying hardware and leveraging virtualization technologies. The flexibility afforded by SDN’s centralized control plane enables rapid policy enforcement, dynamic resource allocation, and improved network visibility, while NFV transforms traditionally hardware-bound network functions into software-driven, on-demand services. SDN and NFV unlock innovative opportunities in 5G/6G communications, edge-to-cloud integration, and distributed computing, paving the way for cutting-edge applications that demand reliability, low latency, and real-time processing.

This Special Issue aims to capture the latest SDN and NFV research advances, underscoring their critical roles in achieving intelligent, automated, and secure networking solutions. We invite contributions that explore novel architectures, performance optimization strategies, security frameworks, orchestration mechanisms, and real-world deployment experiences. Researchers, practitioners, and industry stakeholders are encouraged to share state-of-the-art findings, propose forward-looking roadmaps, and highlight pressing challenges that will shape network evolution in a hyperconnected world.

Dr. He Li
Prof. Dr. Yoshifumi Okada
Dr. Xiaoyi Tao
Guest Editors

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Keywords

  • software-defined networking (SDN)
  • network function virtualization (NFV)
  • 5G/6G communications
  • network slicing
  • virtualized network functions (VNFs)
  • edge-to-cloud integration
  • control–data plane separation

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Published Papers (1 paper)

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Research

15 pages, 1126 KB  
Article
Edge Caching Strategies for Seamless Handover in SDN-Enabled Connected Cars
by Kuljaree Tantayakul, Wasimon Panichpattanakul, Adisak Intana and Parin Sornlertlamvanich
Future Internet 2025, 17(11), 525; https://doi.org/10.3390/fi17110525 - 18 Nov 2025
Viewed by 238
Abstract
This paper presents an analytical evaluation of three strategies designed to minimize service disruption during handovers in Software-Defined Networking (SDN)-based connected car networks: SDN Mobility with a Caching Policy, cache-miss Content Delivery Network (CDN), and cache-hit CDN. The performance trade-offs inherent in each [...] Read more.
This paper presents an analytical evaluation of three strategies designed to minimize service disruption during handovers in Software-Defined Networking (SDN)-based connected car networks: SDN Mobility with a Caching Policy, cache-miss Content Delivery Network (CDN), and cache-hit CDN. The performance trade-offs inherent in each approach have been quantitatively compared, and their multi-faceted performances have been analyzed. The evaluation includes a range of Session-to-Mobility Ratios (SMR), sensitivities of core network latency and L2 handover delays, and a realistic assessment of CDN effectiveness as a function of its cache-hit ratio. Our analysis conclusively shows that the availability of content on the network edge is the key factor for ensuring seamless connectivity. The study also identifies a quantitative crossover point 70% cache-hit ratio, where the proactive CDN’s performance surpasses that of reactive Caching Policy, establishing a clear target for predictive algorithms. Results confirm that while the cache-hit strategy offers the lowest disruption, the high data plane latency of a cache-miss 100 ms delay makes it unsuitable for vehicular applications, and the Caching Policy is limited by a 30 ms control plane overhead. This paper provides a robust framework for future vehicular network designs that proactive edge-based architectures are critical for stringent connectivity requirements. Full article
(This article belongs to the Special Issue Software-Defined Networking and Network Function Virtualization)
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