PDF(Pubmed)
Abstract：
Users can purchase virtualized computer resources using the cloud computing concept, which is a novel and innovative way of computing. It offers numerous advantages for IT and healthcare industries over traditional methods. However, a lack of trust between CSUs and CSPs is hindering the widespread adoption of cloud computing across industries. Since cloud computing offers a wide range of trust models and strategies, it is essential to analyze the service using a detailed methodology in order to choose the appropriate cloud service for various user types. Finding a wide variety of comprehensive elements that are both required and sufficient for evaluating any cloud service is vital in order to achieve that. As a result, this study suggests an accurate, fuzzy logic-based trust evaluation model for evaluating the trustworthiness of a cloud service provider. Here, we examine how fuzzy logic raises the efficiency of trust evaluation. Trust is assessed using Quality of Service (QoS) characteristics like security, privacy, dynamicity, data integrity, and performance. The outcomes of a MATLAB simulation demonstrate the viability of the suggested strategy in a cloud setting.
摘要：
用户可以使用云计算概念购买虚拟化的计算机资源，这是一种新颖而创新的计算方式。与传统方法相比，它为IT和医疗保健行业提供了许多优势。然而,CSU和CSP之间缺乏信任阻碍了云计算在各个行业的广泛采用。由于云计算提供了广泛的信任模型和策略，必须使用详细的方法来分析服务，以便为各种用户类型选择合适的云服务。为了实现这一目标，找到评估任何云服务所需和足够的各种综合元素至关重要。因此,这项研究表明，基于模糊逻辑的信任评估模型，用于评估云服务提供商的可信度。这里,我们研究了模糊逻辑如何提高信任评估的效率。信任是使用服务质量(QoS)特征来评估的，如安全性、隐私,动态性,数据完整性,和性能。MATLAB仿真的结果证明了所建议的策略在云环境中的可行性。
