FASTCloud: A novel framework of assessment and selection for trustworthy cloud service
Xiang Li

TL;DR
FASTCloud is a new framework that helps potential cloud users select trustworthy services by accurately assessing trust levels based on dynamic QoS attributes and objective weighting, improving decision-making in cloud service selection.
Contribution
The paper introduces a novel trust assessment model using interval multiple attributes and deviation maximization for adaptive, efficient trust evaluation in cloud services.
Findings
The trust assessment model is efficient and has favorable time complexity.
Experimental results demonstrate the effectiveness of FASTCloud in trust evaluation.
FASTCloud aids PCCs in selecting trustworthy cloud services effectively.
Abstract
By virtue of technology and benefit advantages, cloud computing has increasingly attracted a large number of potential cloud consumers (PCC) plan to migrate the traditional business to the cloud service. However, trust has become one of the most challenging issues that prevent the PCC from adopting cloud services, especially in trustworthy cloud service selection. Besides, due to the diversity and dynamic of quality of service (QoS) in the cloud environment, the existing trust assessment methods based on the single constant value of QoS attribute and the subjective weight assignment are not good enough to provide an effective solution for PCCs to identify and select a trustworthy cloud service among a wide range of functionally-equivalent cloud service providers (CSPs). To address the challenge, a novel assessment and selection framework for trustworthy cloud service, FASTCloud, is…
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Taxonomy
TopicsCloud Data Security Solutions · Cloud Computing and Resource Management · Blockchain Technology Applications and Security
