Model-driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources

1. Attached files: This archive contains 1440 MATLAB files, each one containing the results of a single experiment. The name of each file follows the following format: A_B_C_null_D_0.95_E_F.mat Where the fields A, B, C, D, E, and F are described as follows. A: number of users. Considered values are: 2500, 5000, 10000, 20000, 40000. B: variation in the profile of the requests. Considered values are: ref, var1, var2, var3, var4, var5. ref -> reference experiment, no users are halved or doubled var1 -> users in class 1 halved, other users doubled var2 -> users in class 2 halved, other users doubled var3 -> users in class 3 halved, other users doubled var4 -> users in class 4 halved, other users doubled var5 -> users in class 5 halved, other users doubled C: variation of the replaceability set of the application server. Considered values are: ref, k1, k2, k3, k4, k5. ref -> reference experiment, no rates are halved or doubled k1 -> only possible substitution has rate k1 halved and other rates doubled k2 -> only possible substitution has rate k2 halved and other rates doubled k3 -> only possible substitution has rate k3 halved and other rates doubled k4 -> only possible substitution has rate k4 halved and other rates doubled k5 -> only possible substitution has rate k5 halved and other rates doubled D: variation of the design constraints. Considered values are: none, 4, 34, 234. none -> no components can be replicated 4 -> only the application server can be replicated 34 -> only the application server and the database server can be replicated 234 -> all the components can be replicated E: Optimization algorithm. Considered values are: norefactoring, replacement, reassignment, full norefactoring -> experiment with no refactorings replacement -> experiment with only replacement refactoring reassignment -> experiment with only reassignment refactoring full -> experiment with replacement and reassignment refactorings F: Experiment seed. Considered values are from 1 to 20 2. Data format: MATLAB data format, can be loaded from MATLAB using the following command: results = load(filename); results is defined as a structure with the following fields: results.cost Type: scalar, positive real number. Desc: hourly cost in US dollars. results.time Type: scalar, positive real number. Desc: total time (in seconds) needed by the algorithm to compute the solution. results.evaluations Type: scalar, positive integer number. Desc: number of constraints evaluations needed by the algorithm to compute the solution. results.d Type: matrix, non negative positive real number. Desc: association matrix between rented resources (columns) and application components (rows). The sum of all the elements of this matrix is equal to the ECUs used by the application.