Software-Defined Network Function Virtualization: A Survey
Open accessAbstract
Diverse proprietary network appliances increase both the capital and operational expense of service providers, meanwhile causing problems of network ossification. Network function virtualization (NFV) is proposed to address these issues by implementing network functions as pure software on commodity and general hardware. NFV allows flexible provisioning, deployment, and centralized management of virtual network functions. Integrated with SDN, the software-defined NFV architecture further offers agile traffic steering and joint optimization of network functions and resources. This architecture benefits a wide range of applications (e.g., service chaining) and is becoming the dominant form of NFV. In this survey, we present a thorough investigation of the development of NFV under the software-defined NFV architecture, with an emphasis on service chaining as its application. We first introduce the software-defined NFV architecture as the state of the art of NFV and present relationships between NFV and SDN. Then, we provide a historic view of the involvement from middlebox to NFV. Finally, we introduce significant challenges and relevant solutions of NFV, and discuss its future research directions by different application domains.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
As the adoption of SDN and NFV matures towards future 5G networks, the software-defined NFV architecture can offer an active traffic steering and joint optimization of network functions that further turns into QoE-management offerings.
“As the adoption of SDN and NFV matures towards future 5G networks, the software-defined NFV architecture [256] can offer an active traffic steering and joint optimization of network functions that further turns into QoE-management offerings [257].”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [256]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cited by
Sorted by citations
Taleb, T., Samdanis, K., Mada, B., Flinck, H., Dutta, S., & Sabella, D. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2705720 · Cited by 1,775 · see citing works
Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions
Afolabi, I., Taleb, T., Samdanis, K., Ksentini, A., & Flinck, H. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2815638 · Cited by 1,078 · see citing works
Xie, J., Yu, F. R., Huang, T., Xie, R., Liu, J., Wang, C., & Liu, Y. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2866942 · Cited by 700 · see citing works
SDN and Virtualization Solutions for the Internet of Things: A Survey
Bizanis, N., & Kuipers, F. A. (2016) · IEEE Access · doi:10.1109/access.2016.2607786 · Cited by 282 · see citing works
QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
Barakabitze, A. A., Barman, N., Ahmad, A., Zadtootaghaj, S., Sun, L., Martini, M. G., & Atzori, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2958784 · Cited by 239 · see citing works
Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach
Galeano-Brajones, J., Carmona-Murillo, J., Valenzuela-Valdés, J. F., & Luna-Valero, F. (2020) · Sensors · doi:10.3390/s20030816 · Cited by 165 · see citing works
Rahman, A., Islam, M. J., Sunny, F. A., & Nasir, M. K. (2019) · 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET) · doi:10.1109/iciet48527.2019.9290627 · Cited by 40 · see citing works
- Authors
- Li, Y., & Chen, M.
- Affiliations
- Tsinghua University (CN)
- Huazhong University of Science and Technology (CN)
- Venue
- IEEE Access
- Published
- 2015
- Volume
- 3
- Pages
- 2542-2553
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2203584209
- Cited by
- 508
- References
- 0
- Citations by year
- 2026: 6 · 2025: 20 · 2024: 23 · 2023: 29 · 2022: 41 · 2021: 60 · 2020: 94 · 2019: 83 · 2018: 64 · 2017: 61 · 2016: 27
- FWCI
- 58.08
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Basic Research Program of China (973 Program) (2013CB329105)
- National Natural Science Foundation of China (61300224, 61301080, 61171065, 61273214, 91338203, 91338102)
- International Science and Technology Collaboration Program through the Ministry of Science and Technology, China, and National Natural Science Foundation of China (2014DFT10070, 61572220)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Optical Network Technologies
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- network function virtualization, software-defined networking, service function chaining, middleboxes, commodity hardware, traffic steering
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review