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In addition, the multiple stages of approach to the target make the overall orbital profiles to spread over a wide range of distances to the target.
This allows database models to be easily obtained for the second stage of our approach.
The next stage of MSD approach is to simulate the comprehensive MSD model of the system using the proposed algorithm.
During the evaluation of the database modelling stage of the approach, 15 real-world database schemas and logs were used.
The second stage of our approach simulates the migration of a database to a new cloud provider.
To evaluate the accuracy of the database migration simulation stage of our approach, we compared its predictions to four real cloud database migrations.
The second stage of our approach uses MigSim, a tool supported-method that simulates cloud database migration from KDM and SMM models of the target database.
The first stage of our approach obtains workload and structure models of the database to be migrated from database logs and the database schema.
As explained in the threats to validity section later in the paper, fewer experiments were feasible for this stage of our approach.
The second stage of our approach uses discrete-event simulation to estimate the database migration cost, migration duration, and future cloud running costs.
The first stage of our approach uses DBLModeller, a tool-supported method for modelling database workload and structure in a platform independent way.
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