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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >CLOUD RANKING MODEL FOR OPTIMAL SERVICE SELECTION BASED ON RANDOM FUZZY LOGIC
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CLOUD RANKING MODEL FOR OPTIMAL SERVICE SELECTION BASED ON RANDOM FUZZY LOGIC

机译:基于随机模糊逻辑的最优服务选择云排序模型

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The digital-Era generation is tuned to operate on Multi-mode resources with verity of choices of cloud services to satisfy their customers? requirement. In the past the cloud service providers were very limited to satisfy these multi-mode customers with their inadequate available resources. Hence there is a wide increase on cloud service providers in a federated environment, due to its advantages of multiple reductions in infrastructural cost, service availability, performance and scalability. From the available cloud services, there is a great need of the hour to choose the service provider through the Cloud Broker Architecture. Along with the cloud broker architecture, the cloud service ranking model comes as an aid for an efficient selection of the cloud provider for the requested user. Hence cloud service ranking becomes a process of selecting the best and suitable provider. In this work we base our proposed method of ranking on the Fuzzy logic set. We discuss on different ranking methods and propose a suitable ranking method based on Random variable selection in ranking with the extended parameters like quality of service, cost reduction, performance and response time by the cloud service providers. In the proposed approach, Federated Cloud Architecture (FCA) shortlists the related CSPs for the user tasks automatically and chooses the optimal provider using the concept of preferential ranking mechanism. The solution is arrived by accomplishing the quality of service based SMI attributes which is the measuring parameters form the pool of cloud service provider (CSP)s.
机译:数字时代已调整为可在多种模式资源上运行,并能选择多种云服务来满足其客户?需求。过去,云服务提供商非常有限,无法以可用的资源来满足这些多模式客户的需求。因此,由于其在基础设施成本,服务可用性,性能和可伸缩性方面多次降低的优势,在联合环境中的云服务提供商有了广泛的增长。从可用的云服务中,非常需要一个小时来通过Cloud Broker体系结构选择服务提供商。与云代理体系结构一起,云服务排名模型可以帮助为所请求的用户有效选择云提供商。因此,云服务排名成为选择最佳和合适提供商的过程。在这项工作中,我们基于模糊逻辑集提出了建议的排名方法。我们讨论了不同的排名方法,并提出了一种基于随机变量选择的适合的排名方法,该方法使用云服务提供商的扩展参数(如服务质量,成本降低,性能和响应时间)进行排名。在提出的方法中,联邦云体系结构(FCA)会自动为用户任务选择相关的CSP,并使用优先排序机制的概念选择最佳提供商。解决方案是通过完成基于服务质量的SMI属性来实现的,SMI属性是来自云服务提供商(CSP)池的度量参数。

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