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QOGMP: QoS-oriented global multi-path traffic scheduling algorithm in software defined network
According to the research status of Software Defined Network (SDN) control layer traffic scheduling, we find the current common problems, including single path, easy congestion, Quality of Service (QoS) requirements and high delay. To solve these four problems, we design and implement a QoS-oriented...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418155/ https://www.ncbi.nlm.nih.gov/pubmed/36028545 http://dx.doi.org/10.1038/s41598-022-18919-w |
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author | Guo, Yiping Hu, Guyu Shao, Dongsheng |
author_facet | Guo, Yiping Hu, Guyu Shao, Dongsheng |
author_sort | Guo, Yiping |
collection | PubMed |
description | According to the research status of Software Defined Network (SDN) control layer traffic scheduling, we find the current common problems, including single path, easy congestion, Quality of Service (QoS) requirements and high delay. To solve these four problems, we design and implement a QoS-oriented global multi-path traffic scheduling algorithm for SDN, referred to as QOGMP. First, we propose a link weight calculation algorithm based on the idea of traction links and deep reinforcement learning, and conduct experimental verifications related to traction links. The algorithm considers QoS requirements and alleviates the problems of easy congestion and high delay. Then, we propose a traffic scheduling algorithm based on link weight and multi-path scheme, which also considers QoS requirements and solves the problem of single path. Finally, we combined the link weight calculation algorithm and the traffic scheduling algorithm to implement QOGMP, and carried out comparative experiments in the built simulation environment. The experimental results show that QOGMP is better than the two comparison algorithms in terms of delay and rescheduling rate. |
format | Online Article Text |
id | pubmed-9418155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94181552022-08-28 QOGMP: QoS-oriented global multi-path traffic scheduling algorithm in software defined network Guo, Yiping Hu, Guyu Shao, Dongsheng Sci Rep Article According to the research status of Software Defined Network (SDN) control layer traffic scheduling, we find the current common problems, including single path, easy congestion, Quality of Service (QoS) requirements and high delay. To solve these four problems, we design and implement a QoS-oriented global multi-path traffic scheduling algorithm for SDN, referred to as QOGMP. First, we propose a link weight calculation algorithm based on the idea of traction links and deep reinforcement learning, and conduct experimental verifications related to traction links. The algorithm considers QoS requirements and alleviates the problems of easy congestion and high delay. Then, we propose a traffic scheduling algorithm based on link weight and multi-path scheme, which also considers QoS requirements and solves the problem of single path. Finally, we combined the link weight calculation algorithm and the traffic scheduling algorithm to implement QOGMP, and carried out comparative experiments in the built simulation environment. The experimental results show that QOGMP is better than the two comparison algorithms in terms of delay and rescheduling rate. Nature Publishing Group UK 2022-08-26 /pmc/articles/PMC9418155/ /pubmed/36028545 http://dx.doi.org/10.1038/s41598-022-18919-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Guo, Yiping Hu, Guyu Shao, Dongsheng QOGMP: QoS-oriented global multi-path traffic scheduling algorithm in software defined network |
title | QOGMP: QoS-oriented global multi-path traffic scheduling algorithm in software defined network |
title_full | QOGMP: QoS-oriented global multi-path traffic scheduling algorithm in software defined network |
title_fullStr | QOGMP: QoS-oriented global multi-path traffic scheduling algorithm in software defined network |
title_full_unstemmed | QOGMP: QoS-oriented global multi-path traffic scheduling algorithm in software defined network |
title_short | QOGMP: QoS-oriented global multi-path traffic scheduling algorithm in software defined network |
title_sort | qogmp: qos-oriented global multi-path traffic scheduling algorithm in software defined network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418155/ https://www.ncbi.nlm.nih.gov/pubmed/36028545 http://dx.doi.org/10.1038/s41598-022-18919-w |
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