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...
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MDPI AG
2023-02-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/23/4/2259 |
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author | Mingfeng Chen Qiyong Chen Zhaoyu Su Shaohua Sun Chunhai Li |
author_facet | Mingfeng Chen Qiyong Chen Zhaoyu Su Shaohua Sun Chunhai Li |
author_sort | Mingfeng Chen |
collection | DOAJ |
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. |
first_indexed | 2024-03-11T08:09:29Z |
format | Article |
id | doaj.art-06d8c50c1ccd4148965d2797b3f66e81 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T08:09:29Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-06d8c50c1ccd4148965d2797b3f66e812023-11-16T23:12:26ZengMDPI AGSensors1424-82202023-02-01234225910.3390/s23042259Task-Similarity-Based VNF Aggregation for Air–Ground Integrated NetworksMingfeng Chen0Qiyong Chen1Zhaoyu Su2Shaohua Sun3Chunhai Li4School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Artificial Intelligence, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Artificial Intelligence, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaIn 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.https://www.mdpi.com/1424-8220/23/4/2259air–ground networkservice function chainingimproved genetic algorithmfunction aggregation |
spellingShingle | Mingfeng Chen Qiyong Chen Zhaoyu Su Shaohua Sun Chunhai Li Task-Similarity-Based VNF Aggregation for Air–Ground Integrated Networks Sensors air–ground network service function chaining improved genetic algorithm function aggregation |
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 | air–ground network service function chaining improved genetic algorithm function aggregation |
url | https://www.mdpi.com/1424-8220/23/4/2259 |
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