A cloud virtualization service quality survey platform with IPA discrimination index

Cloud computing has been utilising computing resources via a high bandwidth network to facilitate the execution of complicated multi-tasks that require large-scale computing. In this article, the authors propose a novel cloud multiple-function service quality survey system. The survey system will allow users to either choose one option with one category or spread their super multiple options with multiple categories for each question with results in a multi-level scale. To analyse service quality performance, the system proposed here has adopted a new importance-performance analysis (IPA) model discrimination index, which will reflect a more accurate quantity than the original IPA model proposed by Hollenhorst. Further, the proposed index has been implemented to compare and distinguish between the effects of different types of research event. Adopting this proposal to compare the homogeneous service quality of education activity, the results demonstrate that the new scheme has better information for performance comparisons. Furthermore, the IPA discrimination index will identify extra information to improve quality, and will determine a proper means of comparison.