期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：11
页码：4179-4183
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Now a days, Cloud computing is becoming more popular research topic. Building high-quality cloud applications is a critical research problem and it has lot of demand. QoS rankings provide valuable information for making optimal cloud service selection from a set of functionally equivalent service candidates. To obtain QoS values, real-world invocations on the service candidates are usually required. Inorder to avoid the time-consuming and expensive real-world service invocation,. Here, in this paper we have proposed Cloud Rank Framework for QoS ranking prediction framework for cloud services. In this approach ,we have also described Amazon.com recommendation amd SMICloud approach with their Pros and Cons. We have also briefly compare our proposed approach with previous work with respect to response time, throughput and cost estimation. Our proposed approach gives better result than previous work. This proposed a personalized ranking prediction framework Cloud Rank, used to predict the QoS ranking of a set of cloud services without requiring additional real-world service invocations from the intended users. For making personalized ranking prediction it uses past experience of other use. It generally uses utilizing content information Technique.
