文章基本信息

标题：CLOUD RANKING MODEL FOR OPTIMAL SERVICE SELECTION BASED ON RANDOM FUZZY LOGIC
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作者：M. SATHEESH ; M. ARAMUDHAN
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：5
页码：1467-1475
出版社：Journal of Theoretical and Applied
摘要：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.
关键词：Cloud service Provider (CSP); Random Fuzzy Logic; Ranking Mechanism; Quality of Service; Service Measurement Index (SMI); Service Provisioning