Interpretive structural model (ISM) is well proven for establishing the interrelationship between the variables influencing the system. The strategy of clouding
is subjected to many inhibitors. This paper deals with the deployment of ISM to model the interrelationships between the inhibitors of cloud computing. The model is
made which is based on SSIM, initial reachability matrix, final reachability matrix and diagraph. Finally the Inhibitors are classified into four clusters based on their
driving power and dependence. In this way action plan has been formulated for mitigating the most sensitive inhibitors.
A. Ambikadevi, Pramod, V. R., and Dr. Radhika N., “ISM for analysing the interrelationship between the inhibitors of cloud computing”, International journal of computer applications in engineering services, vol. 2, no. 3, 2012.