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An adaptive service selection method for cross-cloud service composition

机译：跨云服务组合的自适应服务选择方法

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摘要

Cloud computing aims at providing elastic applications that can be scaled at runtime. In practice, traditional service composition methods are not flexible enough to changes in cross-cloud environment. In view of this challenge, an adaptive service selection method for cross-cloud service composition is proposed in this paper, by dynamically selecting proper services with near-optimal performance for adapting to changes in time. First, concretely speaking, the service selection and execution are modeled with Markov decision process to ensure flexibility. Second, service pair is defined, and the way to build service pairs set is proposed to predict the performance of candidate services. Third, the adaptive service selection algorithm is designed to select proper cloud services for changing cross-cloud environment. Finally, a case study for cross-cloud service composition and experiments are presented for validating the feasibility of our proposal.
机译：云计算旨在提供可以在运行时扩展的弹性应用程序。实际上，传统的服务组合方法不够灵活，无法适应跨云环境的变化。针对这一挑战，提出了一种通过动态选择性能接近最优的适当服务来适应时间变化的跨云服务组合自适应服务选择方法。首先，具体地说，服务选择和执行是通过马尔可夫决策过程建模的，以确保灵活性。其次，定义了服务对，并提出了构建服务对集合的方法来预测候选服务的性能。第三，设计自适应服务选择算法，以选择合适的云服务来改变跨云环境。最后，针对跨云服务的组成和实验进行了案例研究，以验证我们的建议的可行性。

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