Machine learning-based queueing time analysis in XGPON

Link to publisher's homepage at http://ijneam.unimap.edu.my

Saved in:
Bibliographic Details
Main Authors: N. A., Ismail, S. M., Idrus, F., Iqbal, A.M., Zin, F., Atan, N., Ali
Other Authors: sevia@utm.my
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
Subjects:
ANN
DBA
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75091
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-75091
record_format dspace
spelling my.unimap-750912022-05-09T03:44:44Z Machine learning-based queueing time analysis in XGPON N. A., Ismail S. M., Idrus F., Iqbal A.M., Zin F., Atan N., Ali sevia@utm.my ANN DBA Machine learning Queueing time XGPON Link to publisher's homepage at http://ijneam.unimap.edu.my Machine learning has been a popular approach in predicting future demand. In optical access network, machine learning can best predict bandwidth demand so as to reduce delays. This paper presented a machine learning approach to learn queueing time in XGPON given the traffic load, number of frames and packet size. Queueing time contributes to upstream delay and therefore would improve the network performance. Output R acquired from the trained ANN is close to value 1. From the trained ANN, mean squared error (MSE) shows significantly low value and this proves that machine learning-based queueing time analysis offers another dimension of delay analysis on top of numerical analysis. 2022-05-09T03:44:44Z 2022-05-09T03:44:44Z 2021-12 Article International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 157-163 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75091 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic ANN
DBA
Machine learning
Queueing time
XGPON
spellingShingle ANN
DBA
Machine learning
Queueing time
XGPON
N. A., Ismail
S. M., Idrus
F., Iqbal
A.M., Zin
F., Atan
N., Ali
Machine learning-based queueing time analysis in XGPON
description Link to publisher's homepage at http://ijneam.unimap.edu.my
author2 sevia@utm.my
author_facet sevia@utm.my
N. A., Ismail
S. M., Idrus
F., Iqbal
A.M., Zin
F., Atan
N., Ali
format Article
author N. A., Ismail
S. M., Idrus
F., Iqbal
A.M., Zin
F., Atan
N., Ali
author_sort N. A., Ismail
title Machine learning-based queueing time analysis in XGPON
title_short Machine learning-based queueing time analysis in XGPON
title_full Machine learning-based queueing time analysis in XGPON
title_fullStr Machine learning-based queueing time analysis in XGPON
title_full_unstemmed Machine learning-based queueing time analysis in XGPON
title_sort machine learning-based queueing time analysis in xgpon
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75091
_version_ 1738511705094225920
score 13.214268