Efficient and secure service function chain deployment method for delay optimization in air traffic information network

The air traffic information network is fundamental for ensuring the efficient and safe operation of flights. However, with the increasing demands of air traffic services, the rigidity of the traditional air traffic information network has become increasingly pronounced. Network function virtualization (NFV) technology presents an effective solution to address this issue. Within the NFV environment, the deployment of service function chains (SFC) forms the basis for achieving end-to-end air traffic services. This paper addresses the low delay and high security requirements inherent in air traffic services and proposes an efficient and secure SFC deployment for delay optimization (ESSFCD-DO) method. Primarily, the paper conducts a theoretical analysis of SFC deployment, and derives four key principles related to SFC delay, security, and resource cost. Subsequently, based on these principles, the ESSFCD-DO method is developed, which encompasses the virtual network function (VNF) aggregation algorithm for security and resources cost optimization (VNFAA-SRCO), the VNF deployment algorithm based on topology aware (VNFD-TA), and the algorithm for deploying virtual links based on k-shortest path. Experimental results demonstrate that, in comparison to other SFC deployment methods within this domain, ESSFCD-DO achieves significant optimizations in terms of end-to-end delay of SFC and long-term revenue-cost ratio, while ensuring security and service request acceptance rate.

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Publication Details

Journal
Scientific Reports
Published
2024-10-28
DOI
https://doi.org/10.1038/s41598-024-76131-4
Citations
3
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
1.05

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article

Efficient and secure service function chain deployment method for delay optimization in air traffic information network

Yong Yang, Buhong Wang, Guo Rong-xiao, Peng Luo et al.
3 citations
Scientific Reports
Software-Defined Networks and 5G
1.05
article

Efficient and secure service function chain deployment method for delay optimization in air traffic information network

Yong Yang, Buhong Wang, Guo Rong-xiao, Peng Luo, Jiwei Tian, Xiaolu Li, Dong Li
article en
3 citations

Abstract

The air traffic information network is fundamental for ensuring the efficient and safe operation of flights. However, with the increasing demands of air traffic services, the rigidity of the traditional air traffic information network has become increasingly pronounced. Network function virtualization (NFV) technology presents an effective solution to address this issue. Within the NFV environment, the deployment of service function chains (SFC) forms the basis for achieving end-to-end air traffic services. This paper addresses the low delay and high security requirements inherent in air traffic services and proposes an efficient and secure SFC deployment for delay optimization (ESSFCD-DO) method. Primarily, the paper conducts a theoretical analysis of SFC deployment, and derives four key principles related to SFC delay, security, and resource cost. Subsequently, based on these principles, the ESSFCD-DO method is developed, which encompasses the virtual network function (VNF) aggregation algorithm for security and resources cost optimization (VNFAA-SRCO), the VNF deployment algorithm based on topology aware (VNFD-TA), and the algorithm for deploying virtual links based on k-shortest path. Experimental results demonstrate that, in comparison to other SFC deployment methods within this domain, ESSFCD-DO achieves significant optimizations in terms of end-to-end delay of SFC and long-term revenue-cost ratio, while ensuring security and service request acceptance rate.

Scientific ReportsVol. 14(1)
Air Force Engineering University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shaanxi Province, Natural Science Basic Research Program of Shaanxi Province
Openalex Percentile: Top 21%
Software-Defined Networks and 5G
1.05
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