An adaptive trust based service quality monitoring mechanism for cloud computing

Cloud computing is the newest paradigm in distributed computing that delivers computing resources over the Internet as services. Due to the attractiveness of cloud computing, the market is currently flooded with many service providers. This has necessitated the customers to identify the right one m...

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Main Author:	Firdhous, Mohamed Fazil Mohamed
Format:	Thesis
Language:	eng eng
Published:	2016
Subjects:	QA75 Electronic computers Computer science
Online Access:	https://etd.uum.edu.my/6232/1/s92920_01a.pdf https://etd.uum.edu.my/6232/2/s92920_02a.pdf
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id	my-uum-etd.6232
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Ghazali, Osman Hassan, Suhaidi
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Firdhous, Mohamed Fazil Mohamed An adaptive trust based service quality monitoring mechanism for cloud computing
description	Cloud computing is the newest paradigm in distributed computing that delivers computing resources over the Internet as services. Due to the attractiveness of cloud computing, the market is currently flooded with many service providers. This has necessitated the customers to identify the right one meeting their requirements in terms of service quality. The existing monitoring of service quality has been limited only to quantification in cloud computing. On the other hand, the continuous improvement and distribution of service quality scores have been implemented in other distributed computing paradigms but not specifically for cloud computing. This research investigates the methods and proposes mechanisms for quantifying and ranking the service quality of service providers. The solution proposed in this thesis consists of three mechanisms, namely service quality modeling mechanism, adaptive trust computing mechanism and trust distribution mechanism for cloud computing. The Design Research Methodology (DRM) has been modified by adding phases, means and methods, and probable outcomes. This modified DRM is used throughout this study. The mechanisms were developed and tested gradually until the expected outcome has been achieved. A comprehensive set of experiments were carried out in a simulated environment to validate their effectiveness. The evaluation has been carried out by comparing their performance against the combined trust model and QoS trust model for cloud computing along with the adapted fuzzy theory based trust computing mechanism and super-agent based trust distribution mechanism, which were developed for other distributed systems. The results show that the mechanisms are faster and more stable than the existing solutions in terms of reaching the final trust scores on all three parameters tested. The results presented in this thesis are significant in terms of making cloud computing acceptable to users in verifying the performance of the service providers before making the selection.
format	Thesis
qualification_name	Ph.D.
qualification_level	Doctorate
author	Firdhous, Mohamed Fazil Mohamed
author_facet	Firdhous, Mohamed Fazil Mohamed
author_sort	Firdhous, Mohamed Fazil Mohamed
title	An adaptive trust based service quality monitoring mechanism for cloud computing
title_short	An adaptive trust based service quality monitoring mechanism for cloud computing
title_full	An adaptive trust based service quality monitoring mechanism for cloud computing
title_fullStr	An adaptive trust based service quality monitoring mechanism for cloud computing
title_full_unstemmed	An adaptive trust based service quality monitoring mechanism for cloud computing
title_sort	adaptive trust based service quality monitoring mechanism for cloud computing
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2016
url	https://etd.uum.edu.my/6232/1/s92920_01a.pdf https://etd.uum.edu.my/6232/2/s92920_02a.pdf
_version_	1747828041707421696
spelling	my-uum-etd.62322021-04-05T02:19:24Z An adaptive trust based service quality monitoring mechanism for cloud computing 2016 Firdhous, Mohamed Fazil Mohamed Ghazali, Osman Hassan, Suhaidi Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences QA75 Electronic computers. Computer science Cloud computing is the newest paradigm in distributed computing that delivers computing resources over the Internet as services. Due to the attractiveness of cloud computing, the market is currently flooded with many service providers. This has necessitated the customers to identify the right one meeting their requirements in terms of service quality. The existing monitoring of service quality has been limited only to quantification in cloud computing. On the other hand, the continuous improvement and distribution of service quality scores have been implemented in other distributed computing paradigms but not specifically for cloud computing. This research investigates the methods and proposes mechanisms for quantifying and ranking the service quality of service providers. The solution proposed in this thesis consists of three mechanisms, namely service quality modeling mechanism, adaptive trust computing mechanism and trust distribution mechanism for cloud computing. The Design Research Methodology (DRM) has been modified by adding phases, means and methods, and probable outcomes. This modified DRM is used throughout this study. The mechanisms were developed and tested gradually until the expected outcome has been achieved. A comprehensive set of experiments were carried out in a simulated environment to validate their effectiveness. The evaluation has been carried out by comparing their performance against the combined trust model and QoS trust model for cloud computing along with the adapted fuzzy theory based trust computing mechanism and super-agent based trust distribution mechanism, which were developed for other distributed systems. The results show that the mechanisms are faster and more stable than the existing solutions in terms of reaching the final trust scores on all three parameters tested. The results presented in this thesis are significant in terms of making cloud computing acceptable to users in verifying the performance of the service providers before making the selection. 2016 Thesis https://etd.uum.edu.my/6232/ https://etd.uum.edu.my/6232/1/s92920_01a.pdf text eng public https://etd.uum.edu.my/6232/2/s92920_02a.pdf text eng public Ph.D. doctoral Universiti Utara Malaysia [1] R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. 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An adaptive trust based service quality monitoring mechanism for cloud computing

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