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.
Authors
- Yong Yang (ORCID: https://orcid.org/0000-0002-7462-3062)
- Buhong Wang (ORCID: https://orcid.org/0000-0001-7425-0502)
- Guo Rong-xiao
- Peng Luo (ORCID: https://orcid.org/0000-0003-4828-1158)
- Jiwei Tian (ORCID: https://orcid.org/0000-0002-1485-7465)
- Xiaolu Li (ORCID: https://orcid.org/0000-0002-2020-0806)
- Dong Li (ORCID: https://orcid.org/0000-0002-3694-1852)
Institutions
- Air Force Engineering University (CN)
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
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shaanxi Province
- Natural Science Basic Research Program of Shaanxi Province