Comprehensive downtime prediction in next generation internet

The benchmark for the reliability quality of networks depends mainly on the accuracy and comprehensiveness of the reliability parameters. Downtime prediction of a communication system is crucial for the quality of service (QoS) offered to the end-user. Markov model enables analytical calculation of...

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Main Authors:	Al-Khateeb, Wajdi Fawzi Mohammed, Al-Irhayim, Sufyan, Al-Khateeb, Khalid A. Saeed
Format:	Article
Language:	English
Published:	IIUM Press 2004
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/5777/ http://irep.iium.edu.my/5777/1/COMPREHENSIVE_DOWNTIME_PREDICTION_IN_NEXTGENERATION.pdf

id	iium-5777
recordtype	eprints
spelling	iium-57772011-12-28T06:18:15Z http://irep.iium.edu.my/5777/ Comprehensive downtime prediction in next generation internet Al-Khateeb, Wajdi Fawzi Mohammed Al-Irhayim, Sufyan Al-Khateeb, Khalid A. Saeed TK5101 Telecommunication. Including telegraphy, radio, radar, television The benchmark for the reliability quality of networks depends mainly on the accuracy and comprehensiveness of the reliability parameters. Downtime prediction of a communication system is crucial for the quality of service (QoS) offered to the end-user. Markov model enables analytical calculation of average single figure cumulative downtime over one year. The single average approach, generally does not adequately describe the wide range of services performance that is likely to be experienced in communications systems due to the random nature of the failure. Therefore, it would be more appropriate to put downtime distribution obtained from network availability models to predict the expected cumulative downtime and other performance parameters among a large number of system populations. The distribution approach provides more comprehensive information about the behavior of the individual systems. Laplace-Stieltjes transform enables analytical solution for simple network architecture, i.e. the simplex system and the parallel system. This paper uses simulation to determine reliability parameters for complex architecture such as the Multiprotocol Label Switching (MPLS) backbone planned for next-generation Internet. In addition to the single figure downtime, simulations provide other reliability parameters such as probability of zero downtime. The paper also considers the downtime distribution among a population of equally designed systems. IIUM Press 2004 Article PeerReviewed application/pdf en http://irep.iium.edu.my/5777/1/COMPREHENSIVE_DOWNTIME_PREDICTION_IN_NEXTGENERATION.pdf Al-Khateeb, Wajdi Fawzi Mohammed and Al-Irhayim, Sufyan and Al-Khateeb, Khalid A. Saeed (2004) Comprehensive downtime prediction in next generation internet. IIUM Engineering Journal, 5 (1). pp. 37-52. ISSN 1511-788X
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	TK5101 Telecommunication. Including telegraphy, radio, radar, television Al-Khateeb, Wajdi Fawzi Mohammed Al-Irhayim, Sufyan Al-Khateeb, Khalid A. Saeed Comprehensive downtime prediction in next generation internet
description	The benchmark for the reliability quality of networks depends mainly on the accuracy and comprehensiveness of the reliability parameters. Downtime prediction of a communication system is crucial for the quality of service (QoS) offered to the end-user. Markov model enables analytical calculation of average single figure cumulative downtime over one year. The single average approach, generally does not adequately describe the wide range of services performance that is likely to be experienced in communications systems due to the random nature of the failure. Therefore, it would be more appropriate to put downtime distribution obtained from network availability models to predict the expected cumulative downtime and other performance parameters among a large number of system populations. The distribution approach provides more comprehensive information about the behavior of the individual systems. Laplace-Stieltjes transform enables analytical solution for simple network architecture, i.e. the simplex system and the parallel system. This paper uses simulation to determine reliability parameters for complex architecture such as the Multiprotocol Label Switching (MPLS) backbone planned for next-generation Internet. In addition to the single figure downtime, simulations provide other reliability parameters such as probability of zero downtime. The paper also considers the downtime distribution among a population of equally designed systems.
format	Article
author	Al-Khateeb, Wajdi Fawzi Mohammed Al-Irhayim, Sufyan Al-Khateeb, Khalid A. Saeed
author_facet	Al-Khateeb, Wajdi Fawzi Mohammed Al-Irhayim, Sufyan Al-Khateeb, Khalid A. Saeed
author_sort	Al-Khateeb, Wajdi Fawzi Mohammed
title	Comprehensive downtime prediction in next generation internet
title_short	Comprehensive downtime prediction in next generation internet
title_full	Comprehensive downtime prediction in next generation internet
title_fullStr	Comprehensive downtime prediction in next generation internet
title_full_unstemmed	Comprehensive downtime prediction in next generation internet
title_sort	comprehensive downtime prediction in next generation internet
publisher	IIUM Press
publishDate	2004
url	http://irep.iium.edu.my/5777/ http://irep.iium.edu.my/5777/1/COMPREHENSIVE_DOWNTIME_PREDICTION_IN_NEXTGENERATION.pdf
first_indexed	2023-09-18T20:14:33Z
last_indexed	2023-09-18T20:14:33Z
_version_	1777407700159692800

Comprehensive downtime prediction in next generation internet

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