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Novel Record Replacement Algorithm and Architecture for QoS Management over Local Area Networks

An effective System-on-Chip (SoC) for smart Quality-of-Service (QoS) management over a virtual local area network (LAN) is presented in this study. The SoC is implemented by field programmable gate array (FPGA) for accelerating the delivery quality prediction for a service. The quality prediction is...

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Autores principales: Tung, Yi-Chih, Law, Yuk-Wing, Hwang, Wen-Jyi, Tai, Tsung-Ming, Ho, Chih-Hsiang, Chen, Cheng-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031568/
https://www.ncbi.nlm.nih.gov/pubmed/35457898
http://dx.doi.org/10.3390/mi13040594
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author Tung, Yi-Chih
Law, Yuk-Wing
Hwang, Wen-Jyi
Tai, Tsung-Ming
Ho, Chih-Hsiang
Chen, Cheng-Chang
author_facet Tung, Yi-Chih
Law, Yuk-Wing
Hwang, Wen-Jyi
Tai, Tsung-Ming
Ho, Chih-Hsiang
Chen, Cheng-Chang
author_sort Tung, Yi-Chih
collection PubMed
description An effective System-on-Chip (SoC) for smart Quality-of-Service (QoS) management over a virtual local area network (LAN) is presented in this study. The SoC is implemented by field programmable gate array (FPGA) for accelerating the delivery quality prediction for a service. The quality prediction is carried out by the general regression neural network (GRNN) algorithm based on a time-varying profile consisting of the past delivery records of the service. A novel record replacement algorithm is presented to update the profile, so that the bandwidth usage of the service can be effectively tracked by GRNN. Experimental results show that the SoC provides self-aware QoS management with low computation costs for applications over virtual LAN.
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spelling pubmed-90315682022-04-23 Novel Record Replacement Algorithm and Architecture for QoS Management over Local Area Networks Tung, Yi-Chih Law, Yuk-Wing Hwang, Wen-Jyi Tai, Tsung-Ming Ho, Chih-Hsiang Chen, Cheng-Chang Micromachines (Basel) Article An effective System-on-Chip (SoC) for smart Quality-of-Service (QoS) management over a virtual local area network (LAN) is presented in this study. The SoC is implemented by field programmable gate array (FPGA) for accelerating the delivery quality prediction for a service. The quality prediction is carried out by the general regression neural network (GRNN) algorithm based on a time-varying profile consisting of the past delivery records of the service. A novel record replacement algorithm is presented to update the profile, so that the bandwidth usage of the service can be effectively tracked by GRNN. Experimental results show that the SoC provides self-aware QoS management with low computation costs for applications over virtual LAN. MDPI 2022-04-10 /pmc/articles/PMC9031568/ /pubmed/35457898 http://dx.doi.org/10.3390/mi13040594 Text en © 2022 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
Tung, Yi-Chih
Law, Yuk-Wing
Hwang, Wen-Jyi
Tai, Tsung-Ming
Ho, Chih-Hsiang
Chen, Cheng-Chang
Novel Record Replacement Algorithm and Architecture for QoS Management over Local Area Networks
title Novel Record Replacement Algorithm and Architecture for QoS Management over Local Area Networks
title_full Novel Record Replacement Algorithm and Architecture for QoS Management over Local Area Networks
title_fullStr Novel Record Replacement Algorithm and Architecture for QoS Management over Local Area Networks
title_full_unstemmed Novel Record Replacement Algorithm and Architecture for QoS Management over Local Area Networks
title_short Novel Record Replacement Algorithm and Architecture for QoS Management over Local Area Networks
title_sort novel record replacement algorithm and architecture for qos management over local area networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031568/
https://www.ncbi.nlm.nih.gov/pubmed/35457898
http://dx.doi.org/10.3390/mi13040594
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