The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Resource Allocation in NFV: A Comprehensive Survey
Abstract
Network functions virtualization (NFV) is a new network architecture framework where network function that traditionally used dedicated hardware (middleboxes or network appliances) are now implemented in software that runs on top of general purpose hardware such as high volume server. NFV emerges as an initiative from the industry (network operators, carriers, and manufacturers) in order to increase the deployment flexibility and integration of new network services with increased agility within operator's networks and to obtain significant reductions in operating expenditures and capital expenditures. NFV promotes virtualizing network functions such as transcoders, firewalls, and load balancers, among others, which were carried out by specialized hardware devices and migrating them to software-based appliances. One of the main challenges for the deployment of NFV is the resource allocation of demanded network services in NFV-based network infrastructures. This challenge has been called the NFV resource allocation (NFV-RA) problem. This paper presents a comprehensive state of the art of NFV-RA by introducing a novel classification of the main approaches that pose solutions to solve it. This paper also presents the research challenges that are still subject of future investigation in the NFV-RA realm.
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Citations
Cites
Akyildiz, I. F., Lin, S.-C., & Wang, P. (2015) · Computer Networks · doi:10.1016/j.comnet.2015.10.013 · Cited by 118 · cited 1×
“a large variety of proprietary hardware appliances, which costs and complexity can be reduced introducing NFV (specially for the coming 5G) [20]–[23].”
Background
Cited by
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
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
SDN/NFV-Based Mobile Packet Core Network Architectures: A Survey
Nguyen, V.-G., Brunstrom, A., Grinnemo, K.-J., & Taheri, J. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2690823 · Cited by 312
Li, J., Shi, W., Wu, H., Zhang, S., & Shen, X. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3058250 · Cited by 157
Duan, Y., Lu, Y., Shen, S., Yu, S., Zhang, P., Zhang, W., & Igorevich, K. K. (2023) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2023.3258916 · Cited by 12
Metadata
- Authors
- Gil Herrera, J., & Botero, J. F.
- Venue
- IEEE Transactions on Network and Service Management
- Published
- 2016-09
- Volume
- 13
- Issue
- 3
- Pages
- 518-532
- ISSN
- 1932-4537 (ISSN-L)
- OpenAlex
- W2500898769
- Cited by
- 904
- References
- 1
- FWCI
- 96.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gil Herrera, J., & Botero, J. F. (2016). Resource Allocation in NFV: A Comprehensive Survey. IEEE Transactions on Network and Service Management. https://doi.org/10.1109/tnsm.2016.2598420
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.