A hierarchical model to evaluate quality of experience of online services hosted by cloud computing

Haiyang Qian, D. Medhi, Kishor S. Trivedi
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引用次数: 53

Abstract

As online service providers utilize cloud computing to host their services, they are challenged by evaluating the quality of experience and designing redirection strategies in this complicated environment. We propose a hierarchical modeling approach that can easily combine all components of this environment. Identifying interactions among the components is the key to construct such models. In this particular environment, we first construct four sub-models: an outbound bandwidth model, a cloud computing availability model, a latency model and a cloud computing response time model. Then we use a redirection strategy graph to glue them together. We also introduce an all-in-one barometer to ease the evaluation. The numeric results show that our model serves as a very useful analytical tool for online service providers to evaluate cloud computing providers and design redirection strategies.
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基于云计算的在线服务体验质量评价的层次模型
随着在线服务提供商利用云计算来托管他们的服务,他们面临着在这种复杂环境中评估体验质量和设计重定向策略的挑战。我们提出了一种分层建模方法,可以轻松地组合该环境的所有组件。确定组件之间的交互是构建此类模型的关键。在这个特定的环境中,我们首先构建了四个子模型:出站带宽模型、云计算可用性模型、延迟模型和云计算响应时间模型。然后我们使用重定向策略图将它们粘合在一起。我们还引入了一个一体化的晴雨表,以简化评估。数值结果表明,该模型为在线服务提供商评估云计算提供商和设计重定向策略提供了一个非常有用的分析工具。
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