UUM Electronic Theses and Dissertation
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An adaptive trust based service quality monitoring mechanism for cloud computing

Firdhous, Mohamed Fazil Mohamed (2016) An adaptive trust based service quality monitoring mechanism for cloud computing. PhD. thesis, Universiti Utara Malaysia.

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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.

Item Type: Thesis (PhD.)
Supervisor : Ghazali, Osman and Hassan, Suhaidi
Item ID: 6232
Uncontrolled Keywords: Cloud computing, Service quality monitoring, Service quality quantification, Trust computing, Trust distribution
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Awang Had Salleh Graduate School of Arts & Sciences
Date Deposited: 09 May 2017 16:08
Last Modified: 05 Apr 2021 02:19
Department: Awang Had Salleh Graduate School of Arts and Sciences
Name: Ghazali, Osman and Hassan, Suhaidi
URI: https://etd.uum.edu.my/id/eprint/6232

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