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Enhanced network load balancing technique for efficient performance in software defined network
Hash collisions and redirection of loads are major limitations for recent Hash IP algorithms. To overcome this, we propose a new Hash IP algorithm dubbed HDW in network load balancing (NLB) to increase network’s efficiency, availability and scalability. We achieve the new Hash IP load balancing algo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101401/ https://www.ncbi.nlm.nih.gov/pubmed/37053135 http://dx.doi.org/10.1371/journal.pone.0284176 |
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author | Osei Kofi, Evans Ahene, Emmanuel |
author_facet | Osei Kofi, Evans Ahene, Emmanuel |
author_sort | Osei Kofi, Evans |
collection | PubMed |
description | Hash collisions and redirection of loads are major limitations for recent Hash IP algorithms. To overcome this, we propose a new Hash IP algorithm dubbed HDW in network load balancing (NLB) to increase network’s efficiency, availability and scalability. We achieve the new Hash IP load balancing algorithm via a constructive merger with weighted scheduler (WS) technique and dynamic switching of routing path (DSP). This helps to reduce delays, jitters and additionally assures some level of security owing to the hashing process. Our findings after comprehensive simulations and performance evaluation depicts that our proposed HDW algorithm is relatively efficient as against other related load balancing algorithms for software defined network. |
format | Online Article Text |
id | pubmed-10101401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-101014012023-04-14 Enhanced network load balancing technique for efficient performance in software defined network Osei Kofi, Evans Ahene, Emmanuel PLoS One Research Article Hash collisions and redirection of loads are major limitations for recent Hash IP algorithms. To overcome this, we propose a new Hash IP algorithm dubbed HDW in network load balancing (NLB) to increase network’s efficiency, availability and scalability. We achieve the new Hash IP load balancing algorithm via a constructive merger with weighted scheduler (WS) technique and dynamic switching of routing path (DSP). This helps to reduce delays, jitters and additionally assures some level of security owing to the hashing process. Our findings after comprehensive simulations and performance evaluation depicts that our proposed HDW algorithm is relatively efficient as against other related load balancing algorithms for software defined network. Public Library of Science 2023-04-13 /pmc/articles/PMC10101401/ /pubmed/37053135 http://dx.doi.org/10.1371/journal.pone.0284176 Text en © 2023 Osei Kofi, Ahene https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Osei Kofi, Evans Ahene, Emmanuel Enhanced network load balancing technique for efficient performance in software defined network |
title | Enhanced network load balancing technique for efficient performance in software defined network |
title_full | Enhanced network load balancing technique for efficient performance in software defined network |
title_fullStr | Enhanced network load balancing technique for efficient performance in software defined network |
title_full_unstemmed | Enhanced network load balancing technique for efficient performance in software defined network |
title_short | Enhanced network load balancing technique for efficient performance in software defined network |
title_sort | enhanced network load balancing technique for efficient performance in software defined network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101401/ https://www.ncbi.nlm.nih.gov/pubmed/37053135 http://dx.doi.org/10.1371/journal.pone.0284176 |
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