基于层次模糊推理系统的服务选择云信任评价系统

Chenhao Qu, R. Buyya
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引用次数: 75

摘要

云计算是一种实用计算范例,它允许用户以现收现付的模式灵活地获取虚拟化计算资源。为了实现使用云的好处,用户需要首先选择合适的云服务,以满足其应用程序的功能和非功能需求。然而,由于大量的可用服务、用户不明确的需求以及云中的性能变化,这是一项艰巨的任务。本文提出了一种基于用户模糊服务质量(QoS)需求和服务动态性能的云信任评估系统,以方便用户选择服务。我们通过模拟和案例研究证明了系统的有效性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Cloud Trust Evaluation System Using Hierarchical Fuzzy Inference System for Service Selection
Cloud computing is an utility computing paradigm that allows users to flexibly acquire virtualized computing resources in a pay-as-you-go model. To realize the benefits of using cloud, users need to first select the suitable cloud services that can satisfy their applications' functional and non-functional requirements. However, this is a difficult task due to large number of available services, users' unclear requirements, and performance variations in cloud. In this paper, we propose a system that evaluates trust of clouds according to users' fuzzy Quality of Service (QoS) requirements and services' dynamic performances to facilitate service selection. We demonstrate the effectiveness and efficiency of our system through simulations and case studies.
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