OptiSpot: Minimizing Application Deployment Cost using Spot Cloud Resources

1. Attached files:        

This archive contains 1800 MATLAB files, each one containing the results of a single experiment.
The name of each file follows the following format:

                       A_B_C_D_E_F_G.mat

Where the fields A, B, C, D, E, F, and G are described as follows.

A: number of users.
Considered values are: 1000, 2000, 5000, 10000.

B: maximum response time in milliseconds.
Considered values are: 60, 80, 100, 200.

C: overbid time cap in hours.
Considered values are: 5, 20, 80, 0 (note: 0 is a code used to express infinite hours).

D: Amazon region.
Considered values are: us-east, eu-west.

E: Operating system.
Considerede values are: Windows, Linux.

F: Optimization algorithm.
Considered values are: heuristic (which is OptiSpot), fmincon.

G: Experiment seed.
Considered values are from 1 to 30

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.