Robust multi-dimensional trust computing mechanism for cloud computing

Cloud computing has become the most promising way of purchasing computing resources over the Internet.The main advantage of .cloud computing is its economic advantages over the traditional computing resource provisioning.For cloud computing to become acceptable to wider audience, it is necessary to maintain the quality of service (QoS) commitments specified in the service level agreement.In this paper, the authors propose a robust multi-level trust computing mechanism that can be used to track the performance of cloud systems using multiple QoS attributes.In addition, tests carried out show that the proposed mechanism is more robust than the ones published in the literature

Robust Multi-Dimensional Trust Computing Mechanism for Cloud Computing

Cloud computing has become the most promising way of purchasing computing resources over the Internet. The main advantage of cloud computing is its economic advantages over the traditional computing resource provisioning. For cloud computing to become acceptable to wider audience, it is necessary to maintain the QoS commitments specified in the service level agreement. In this paper, the authors propose robust multi-level trust computing mechanism that can be used track the performance of cloud systems using multiple QoS attributes. Tests carried out show that the proposed mechanism is more robust than the ones published in the literature

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 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

A memoryless trust computing mechanism for cloud computing

Trust management systems play an important role in identifying the quality of service in distributed systems. In cloud computing, trust systems can be used to identify service providers who would meet the requirements of customers.Several trust computing mechanisms have been proposed in literature based on various trust metrics. Most of these systems compute the trust scores incrementally from the previous values.This is major vulnerability that can be exploited by adversaries to attack the system forcing the trust scores towards extreme values.In this paper, the authors present a memoryless trust computing mechanism which is immune to such attacks.The proposed mechanism does not depend on the previous trust scores hence it cannot be forced towards extreme values by repeated requests.The simulations experiments conducted show that the trust scores computed using the proposed mechanism are more representative and stable in the face of attacks compared to other systems