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Network Function Virtualization and Service Function Chaining Frameworks: A Comprehensive Review of Requirements, Objectives, Implementations, and Open Research Challenges

Author

Listed:
  • Haruna Umar Adoga

    (School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK)

  • Dimitrios P. Pezaros

    (School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK)

Abstract

Network slicing has become a fundamental property for next-generation networks, especially because an inherent part of 5G standardisation is the ability for service providers to migrate some or all of their network services to a virtual network infrastructure, thereby reducing both capital and operational costs. With network function virtualisation (NFV), network functions (NFs) such as firewalls, traffic load balancers, content filters, and intrusion detection systems (IDS) are either instantiated on virtual machines (VMs) or lightweight containers, often chained together to create a service function chain (SFC). In this work, we review the state-of-the-art NFV and SFC implementation frameworks and present a taxonomy of the current proposals. Our taxonomy comprises three major categories based on the primary objectives of each of the surveyed frameworks: (1) resource allocation and service orchestration, (2) performance tuning, and (3) resilience and fault recovery. We also identify some key open research challenges that require further exploration by the research community to achieve scalable, resilient, and high-performance NFV/SFC deployments in next-generation networks.

Suggested Citation

  • Haruna Umar Adoga & Dimitrios P. Pezaros, 2022. "Network Function Virtualization and Service Function Chaining Frameworks: A Comprehensive Review of Requirements, Objectives, Implementations, and Open Research Challenges," Future Internet, MDPI, vol. 14(2), pages 1-39, February.
  • Handle: RePEc:gam:jftint:v:14:y:2022:i:2:p:59-:d:750255
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    Citations

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    Cited by:

    1. Zhongwei Huang & Dagang Li & Chenhao Wu & Hua Lu, 2022. "Reinforcement Learning-Based Delay-Aware Path Exploration of Parallelized Service Function Chains," Mathematics, MDPI, vol. 10(24), pages 1-25, December.
    2. Yusuf Olayinka Imam-Fulani & Nasir Faruk & Olugbenga A. Sowande & Abubakar Abdulkarim & Emmanuel Alozie & Aliyu D. Usman & Kayode S. Adewole & Abdulkarim A. Oloyede & Haruna Chiroma & Salisu Garba & A, 2023. "5G Frequency Standardization, Technologies, Channel Models, and Network Deployment: Advances, Challenges, and Future Directions," Sustainability, MDPI, vol. 15(6), pages 1-71, March.

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