FASTCloud：一种可信云服务评估与选择的新框架
FASTCloud: A novel framework of assessment and selection for trustworthy cloud service
AI总结：
针对云服务信任评估与选择难题，提出FASTCloud框架，采用基于区间多属性及偏差最大化客观权重的QoS信任评估模型，高效帮助潜在云消费者选择可信云服务。
摘要：
凭借技术和效益优势，云计算日益吸引大量潜在云消费者（PCC）计划将传统业务迁移至云服务。然而，信任已成为阻碍PCC采用云服务的最具挑战性的问题之一，尤其是在可信云服务选择方面。此外，由于云环境中服务质量（QoS）的多样性和动态性，现有基于QoS属性单一常数值和主观权重分配的信任评估方法，不足以有效帮助PCC在众多功能等效的云服务提供商（CSP）中识别并选择可信的云服务。为解决这一挑战，本研究提出了一种新颖的可信云服务评估与选择框架——FASTCloud。该框架帮助PCC根据其实际QoS需求选择可信云服务。为了准确高效地评估云服务的信任水平，提出了一种基于QoS的信任评估模型。该模型提出了一种基于区间多属性的信任水平评估方法，并采用基于偏差最大化的客观权重分配方法，自适应地确定候选CSP提供的不同云服务的信任水平。通过性能分析和比较，证明了所提出的信任水平评估方法在时间复杂度上的优势。一项基于开源数据集案例研究的实验结果表明，该信任模型在云服务信任评估方面是高效的，且FASTCloud能够有效帮助PCC选择可信的云服务。
英文摘要：
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 proposed in this study. This framework facilitates PCCs to select a trustworthy cloud service based on their actual QoS requirements. In order to accurately and efficiently assess the trust level of cloud services, a QoS-based trust assessment model is proposed. This model represents a trust level assessment method based on the interval multiple attributes with an objective weight assignment method based on the deviation maximization to adaptively determine the trust level of different cloud services provisioned by candidate CSPs. The advantage of the proposed trust level assessment method in time complexity is demonstrated by the performance analysis and comparison. The experimental result of a case study with an open-source dataset shows that the trust model is efficient in cloud service trust assessment and the FASTCloud can effectively help PCCs select a trustworthy cloud service.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
