International Journal of Advanced Research in Computer Engineering & Technology
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. In-order to avoid the time-consuming and expensive real-world service invocation. Here, in this paper, the authors have proposed cloud rank framework for QoS ranking prediction framework for cloud services. In this approach, they have also described Amazon.com recommendation and SMI cloud approach with their pros and cons.