New IPA Discrimination Index for Cloud Virtualization Survey Platform
Wang Chiung-Hsia, Hsu Hsueh-Fang, Mai Yi-Ting, Liu Hsiang-Chuan · Frontiers in artificial intelligence and applications · 2015
In recent years, Cloud services are more popular for many network services. Cloud computing utilizes computing resources via a high bandwidth network to facilitate the execution of complicated multi-tasks that require large-scale computing. In this paper, we propose a novel Cloud multiple-function 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 analyze survey performance, our proposed new Importance-Performance Analysis (IPA) model discrimination index will reflect a more accurate quantity than the IPA model proposed by Hollenhorst (1992). Further, the index is implemented to compare and distinguish the effects of different types of survey events. Adopting the new IPA discrimination index to compare the homogeneous survey results will demonstrate t our scheme has better information for performance comparisons.