Abstract: Cloud computing is an emerging technology. So popularity of cloud computing makes building high quality cloud applications. There are different cloud Service providers which present services with different qualitative characteristics. Determining the best cloud computing service for a specific application is a serious problem for users. So to determine which service is better for the users ranking of the services is required. Ranking compares the different services offered by different providers based on quality of services in order to select the most appropriate service. The attributes of the cloud services are selected and the values of this attributes are determined by using performance monitoring and analysis tools to rank and measure the QoS of various cloud services according to user’s applications on which ranking algorithms are applied so users can select the most appropriate service that satisfies their requirement which increases the accuracy of predicting the ranking of the services.
Keywords: Cloud services; QOS; cloud rank; Skewness
Title: Improving Accuracy of Ranking Prediction for Cloud Services
Author: Pratik Tarasaria, S Ganesh Kumar
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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