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Cited by 12Software-Defined Networks and 5GAdvanced Optical Network TechnologiesService-Oriented Architecture and Web Services

The DOI matches its Crossref record.

NFLCS: An Service Function Chain Path Optimization Strategy Based on Network-Functional Layout Clustering

Duan, Youxiang, Lu, Yuxi, Shen, Shigen, Yu, Shui, Zhang, Peiying, Zhang, Wei, Igorevich, Kostromitin Konstantin·2023·IEEE Transactions on Vehicular Technology
DOI 10.1109/tvt.2023.3258916
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Abstract

Under the background of 5G and 6G super bandwidth and ultra-low delay, Software Defined Networking and Network Function Virtualization (SDN&NFV) makes the communication technology develop rapidly. Service Function Chain (SFC) selection is a crucial aspect of SDN&NFV, which faces many challenges of poor algorithm performance, high latency, and low profit. Moreover, most of the existing studies are stuck in optimizing for a single metric, which leads to a poor generalization of the proposed path optimization method. In this paper, we propose an SFC path optimization strategy based on the clustering of network functional layouts to address the urgent problem. First, we design a topological network identification algorithm, model the SFC path optimization problem as an attention problem and use a multi-headed attention mechanism to optimize different kinds of SFC layouts in a targeted manner. Among them, the multi-headed attention mechanism achieves the effective capture of multiple features in the SFC path selection problem compared with the traditional strategy. The experimental results demonstrate the effectiveness of Network-Functional Layout Clustering Strategy (NFLCS) in optimizing SFC paths and show the ability to optimize the service function chain paths well in future complex network situations.

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Crossref · 10.1109/tvt.2023.3258916

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  • Wang et al. proposed a blockchain-based large-scale data collection intelligent framework to solve computational overhead and credibility problems in IoT data collection.

    “Wang et al. [101] proposed a blockchain-based large-scale data collection intelligent framework to solve the computational overhead and credibility problems in IoT data collection, which included a collaboration verification protocol, an intelligent trust management model, a hierarchical data aggregation strategy, and a blockchain-based IoT data management scheme.”

    From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [101]

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Metadata

Authors
Duan, Y., Lu, Y., Shen, S., Yu, S., Zhang, P., Zhang, W., & Igorevich, K. K.
Affiliations
  • Xidian University (CN)
  • China University of Petroleum, East China (CN)
  • Huzhou Normal University (CN)
  • University of Technology Sydney (AU)
  • Qilu University of Technology (CN)
  • Department of Physics of Nanoscale Systems, South Ural State University, Chelyabinsk, The Russian Federation
ORCID
Venue
IEEE Transactions on Vehicular Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2023-08
Volume
72
Issue
8
Pages
10813-10825
ISSN
  • 0018-9545 (ISSN-L)
  • 1939-9359
DOI
10.1109/tvt.2023.3258916
OpenAlex
W4328007138
Cited by
12
References
0
Citations by year
2025: 3 · 2024: 3 · 2023: 6
FWCI
1.33
Type
journal article
Language
en
Open access
closed
Licence
Locations
IEEE Transactions on Vehicular Technology (publishedVersion)
Funders
  • Natural Science Foundation of Shandong Province (ZR2020MF006, ZR2022LZH015, ZR2019LZH013, ZR2020LZH010)
  • RSF (22-71-10095)
  • Pilot International Cooperation Project for Integrated Innovation of Science, Education and Industry of Qilu University of Technology (2022GH007)
  • Jinan Scientific Research Leader Studio Project (2021GXRC091)
  • One Belt One Road Innovative Talent Exchange with Foreign Experts (DL2022024004 L)
  • Industry-university Research Innovation Foundation of Ministry of Education of China (2021FNA01001)
  • Major Scientific and Technological Projects of CNPC (ZD2019-183-006)
  • Open Foundation of State Key Laboratory of Integrated Services Networks (ISN23-09)
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 › Service-Oriented Architecture and Web Services
Keywords
service function chaining, software-defined networking, network function virtualization, 5G/6G networks

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