Cloud service selection process is significantly challenging and complicated as there are various QoS factors to consider when selecting cloud services. This paper proposes a new QoS-aware selection model systematically and succinctly representing QoS attributes which cloud consumers can easily use and understand when selecting cloud services. In order to ensure the credibility of the cloud service selection, the proposed model collects QoS data from different sources including cloud providers, users’ reviews and cloud monitoring tools. It implements Multi-Criteria Decision Making models in order to rank services based on various QoS attributes. The proposed model is implemented as a simulation tool which is deployed on Amazon cloud platform. Using the simulation tool, the proposed model is rigorously evaluated through a number of experiments by taking into account data from widely used commercial cloud service providers. The experimental results show that the proposed model ranks and selects cloud services according to the QoS requirements of cloud service consumers. Unlike existing approaches the proposed model takes into account multi-level QoS attributes and data from real cloud providers when ranking cloud services.

由于选择云服务时需要考虑各种QoS因素，因此云服务选择过程非常具有挑战性和复杂性。本文提出了一种新的QoS感知选择模型，该模型系统地，简洁地表示QoS属性，云消费者在选择云服务时可以轻松使用和理解。为了确保云服务选择的可信度，提出的模型从不同来源收集QoS数据，包括云提供商，用户评论和云监控工具。它实现了多准则决策模型，以便基于各种QoS属性对服务进行排名。所提出的模型被实现为部署在Amazon云平台上的模拟工具。使用模拟工具 考虑到来自广泛使用的商业云服务提供商的数据，通过大量实验对提出的模型进行了严格评估。实验结果表明，该模型根据云服务用户的QoS需求对云服务进行排序和选择。与现有方法不同，该模型在对云服务进行排名时会考虑多级QoS属性和来自真实云提供商的数据。