Neuro-fuzzy model for assessing risk in cloud computing environment

Abstract

Within a few years, cloud computing emerged as one of the hottest technologies in the IT field. It provides computational resources as general utilities that can be leased and released by users in an on-demand fashion. Cloud computing is rapidly growing interest in many companies around the globe, but adopting cloud computing comes with greater risks, which need to be assessed. In this research, an adaptive neuro-fuzzy inference system (ANFIS) has been applied to assess risk factors in cloud computing. Different membership functions were used for training the data. The model combined the modeling function of fuzzy inference with the learning ability of neural networks. Empirical results illustrate that ANFIS is very effective in modeling cloud-computing risks.