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Task-Similarity-Based VNF Aggregation for Air–Ground Integrated Networks
In a harsh environment, function aggregation of air–ground integrated network service function chaining (SFC) deployment can easily cause network load imbalance, which affects the network security and reliability. In this study, a task-similarity-based virtual network function (VNF) aggregation sche...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964247/ https://www.ncbi.nlm.nih.gov/pubmed/36850857 http://dx.doi.org/10.3390/s23042259 |
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author | Chen, Mingfeng Chen, Qiyong Su, Zhaoyu Sun, Shaohua Li, Chunhai |
author_facet | Chen, Mingfeng Chen, Qiyong Su, Zhaoyu Sun, Shaohua Li, Chunhai |
author_sort | Chen, Mingfeng |
collection | PubMed |
description | In a harsh environment, function aggregation of air–ground integrated network service function chaining (SFC) deployment can easily cause network load imbalance, which affects the network security and reliability. In this study, a task-similarity-based virtual network function (VNF) aggregation scheme was proposed. It considered air–ground network resource consumption and load balance before SFC mapping. A model for selecting VNFs to be aggregated based on task similarity was built. The tasks were classified based on their similarity. Furthermore, the VNFs to be aggregated were selected within the class under the constraints of the underlying physical resources. Load balancing was achieved by adjusting the similarity threshold. Moreover, an SFC mapping selection scheme based on network resource awareness was used to obtain the most suitable physical nodes for single-chain and multi-chain mapping according to various attributes of physical network nodes. The simulation results indicated that the proposed scheme with a better load balance design outperformed existing works on VNF aggregation. We also demonstrated that the task-similarity-based scheme was resource-consumption efficient and effective. |
format | Online Article Text |
id | pubmed-9964247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99642472023-02-26 Task-Similarity-Based VNF Aggregation for Air–Ground Integrated Networks Chen, Mingfeng Chen, Qiyong Su, Zhaoyu Sun, Shaohua Li, Chunhai Sensors (Basel) Article In a harsh environment, function aggregation of air–ground integrated network service function chaining (SFC) deployment can easily cause network load imbalance, which affects the network security and reliability. In this study, a task-similarity-based virtual network function (VNF) aggregation scheme was proposed. It considered air–ground network resource consumption and load balance before SFC mapping. A model for selecting VNFs to be aggregated based on task similarity was built. The tasks were classified based on their similarity. Furthermore, the VNFs to be aggregated were selected within the class under the constraints of the underlying physical resources. Load balancing was achieved by adjusting the similarity threshold. Moreover, an SFC mapping selection scheme based on network resource awareness was used to obtain the most suitable physical nodes for single-chain and multi-chain mapping according to various attributes of physical network nodes. The simulation results indicated that the proposed scheme with a better load balance design outperformed existing works on VNF aggregation. We also demonstrated that the task-similarity-based scheme was resource-consumption efficient and effective. MDPI 2023-02-17 /pmc/articles/PMC9964247/ /pubmed/36850857 http://dx.doi.org/10.3390/s23042259 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Mingfeng Chen, Qiyong Su, Zhaoyu Sun, Shaohua Li, Chunhai Task-Similarity-Based VNF Aggregation for Air–Ground Integrated Networks |
title | Task-Similarity-Based VNF Aggregation for Air–Ground Integrated Networks |
title_full | Task-Similarity-Based VNF Aggregation for Air–Ground Integrated Networks |
title_fullStr | Task-Similarity-Based VNF Aggregation for Air–Ground Integrated Networks |
title_full_unstemmed | Task-Similarity-Based VNF Aggregation for Air–Ground Integrated Networks |
title_short | Task-Similarity-Based VNF Aggregation for Air–Ground Integrated Networks |
title_sort | task-similarity-based vnf aggregation for air–ground integrated networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964247/ https://www.ncbi.nlm.nih.gov/pubmed/36850857 http://dx.doi.org/10.3390/s23042259 |
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