Cloud Service Ranking Based On Quality Of Service

Abstract

In recent years, cloud computing is gaining popularity. Research is been done to build cloud applications with exquisite quality. In achieving the same, one of the criteria that are used is QOS ranking through which suitable cloud service is selected from a group of candidate cloud services. Through QOS values, important information can be collected to rank the services. In order to attain QOS values, different services are needed to be invoked in the cloud, which becomes time consuming and wastage of invocation of services. In this thesis, a hybrid ranking approach is taken for predicting the ranks of different cloud services by using the QOS values from previous consumers of services. In this framework there is no extra invocation needed to extract the QOS values to rank different services. The preferences of services from the previous service users are taken to carry out the most optimal way to rank different cloud services without invoking every one of them.