An Efficient Cloud Ranking Protocol For User Service Selection Using Fuzzy Logic

Anupama Mishra, A. K. Daniel
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Abstract

The IT industry and academic researchers pay more attention to the world. The cloud provider offers dynamic scalability services as needed. Therefore cloud computing environment the ranking of services between cloud provider/service provider offers different services to users. So for the user’s perspective, it is difficult to select the best service provider that fulfills their expectations of service. Therefore ranking prioritizes services for selection of effective cloud service providers is needed. The paper proposes service selection for cloud computing in multi-criteria decision-making situations based on fuzzy logic techniques. The proposed model is based on fuzzy logic techniques for selection of cloud providers to user their need preference attributes as security, storage, and financial for selecting the providers. The ranking of cloud is based on priorities of attributes set by the provider. The model produces the set of ranks to the cloud provider to select the best cloud services.
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基于模糊逻辑的用户服务选择的高效云排序协议
IT行业和学术研究人员更加关注世界。云提供商根据需要提供动态可伸缩性服务。因此云计算环境的服务排名在云提供商/服务提供商之间为用户提供不同的服务。因此,从用户的角度来看,很难选择满足其服务期望的最佳服务提供商。因此,需要对服务进行优先排序,以选择有效的云服务提供商。提出了基于模糊逻辑技术的云计算多准则决策环境下的服务选择问题。提出的模型是基于模糊逻辑技术来选择云提供商,以用户的需求偏好属性为安全、存储和财务来选择提供商。云的排名是基于提供商设置的属性的优先级。该模型为云提供商提供一组排名,以选择最佳的云服务。
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