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Selection of Cloud Service Provider Based on Sampled Non-functional Attribute Set

机译:基于采样的非功能属性集的云服务提供商选择

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The successful service allocation is a result of the successful decisions made by the Cloud Service Provider. The decision must be effective and on time, for survival, to get competitive advantages and to increase profitability of an organization. In this scenario, the increasing number of Cloud Service Providers posts the challenge to measure the services on the basis of non-functional attributes also. In the literature, researchers have developed the optimization techniques to distribute the workload. A lot of work is done to optimize the functional attributes but through this research work we tried to propose a mathematical model to select the service provider based on some sampled non-functional attribute set.
机译:成功的服务分配是云服务提供商成功决策的结果。 该决定必须是有效的,并按时出生,以获得竞争优势并提高组织的盈利能力。 在这种情况下,越来越多的云服务提供商在基于非功能属性的基础上追溯到测量服务的挑战。 在文献中,研究人员开发了分配工作量的优化技术。 完成了许多工作来优化功能属性,而是通过本研究工作,我们尝试提出一个数学模型来基于一些采样的非功能性属性集选择服务提供商。

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