Autonomic Provisioning and Application Mapping on Spot Cloud Resources

1. Attached files:        

500_100_fmincon_0.95_1.mat    
Experiment with 500 users, 100ms max response time, 95% availability, exact algorithm.

500_100_heuristic_0.95_1.mat
Experiment with 500 users, 100ms max response time, 95% availability, our algorithm.

2000_70_fmincon_0.95_1.mat
Experiment with 2000 users, 70ms max response time, 95% availability, exact algorithm.

2000_70_heuristic_0.95_1.mat
Experiment with 2000 users, 70ms max response time, 95% availability, our algorithm.

2000_100_fmincon_0.9_1.mat
Experiment with 2000 users, 100ms max response time, 90% availability, exact algorithm.

2000_100_heuristic_0.9_1.mat    
Experiment with 2000 users, 100ms max response time, 90% availability, our algorithm.

2000_100_fmincon_0.95_1.mat     
Experiment with 2000 users, 100ms max response time, 95% availability, exact algorithm.

2000_100_heuristic_0.95_1.mat   
Experiment with 2000 users, 100ms max response time, 95% availability, our algorithm.

2000_100_fmincon_0.999_1.mat    
Experiment with 2000 users, 100ms max response time, 99.9% availability, exact algorithm.

2000_100_heuristic_0.999_1.mat  
Experiment with 2000 users, 100ms max response time, 99.9% availability, our algorithm.

2000_300_fmincon_0.95_1.mat     
Experiment with 2000 users, 300ms max response time, 95% availability, exact algorithm.

2000_300_heuristic_0.95_1.mat 
Experiment with 2000 users, 300ms max response time, 95% availability, our algorithm.

10000_100_fmincon_0.95_1.mat    
Experiment with 10000 users, 100ms max response time, 95% availability, exact algorithm.

10000_100_heuristic_0.95_1.mat  
Experiment with 10000 users, 100ms max response time, 95% availability, our algorithm.

2. Data format:

MATLAB data format, can be load 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.