De-convolving migration methodology via detailed assessment and cognitive learning - Generating migration assessment report

The application (workload) migration process from the Mainframe to the Cloud environment turns out to be quite complicated: error-prone, time-consuming and costly. Even worse, the application may not work correctly after the sophisticated migration process. Existing approaches mainly complete this process in an ad-hoc manual manner and thus the chances of error are very high. Thus how to migrate the applications to the Cloud platform correctly and effectively poses a critical challenge for the IT service industry as well as the enterprise clients. This paper dissects the migration process into various touch-points to be addressed while deciding for the Migration and addresses it using an adaptive assessment to generate scores for various possible solution approaches to Migration; which are then used to decide upon an approach for the workload.