Sobhika, Rajagopal
Cloud computing is becoming popular. Building high-quality cloud applications is a critical research problem. 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. To avoid the time consuming and expensive real-world service invocations, this paper surveys different QoS ranking prediction methodslike neighborhood based approach , ADF, Local optimization for ranking of cloud services by taking advantage of the past service usage experiences of other consumers. Finally this paper summarizes various approaches for ranking of services in the cloud that is used for optimal service selection.
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