Implement Benchmarking Strategy: Heuristic 1 (Step Strategy)

Please review @she Closes #48 (closed) Tested with unit-test with a complex input and with manual test for the following two workloads: (1 = successful experiment, in the sense that the application could handle the load, 0 = unsuccessful experiment):

Manual Workload 1

dim_value/instances	1	2
100	1	1
200	1	1

The result of the execution was as follows (executed experiments marked with 'x', not executed with 'o'):

dim_value/instances	1	2
100	x	o
200	x	o

Manual Workload 2

dim_value/instances	1	2
100	1	1
300.000	0	0

The result of the execution was as follows (executed experiments marked with 'x', not executed with 'o'):

dim_value/instances	1	2
100	x	o
300.000	x	x

execution/strategies/tests/test_step_strategy.py

@@ -68,13 +68,11 @@ def subexperiment_evaluator_execute():
     pp.pprint(expected_order[experiment_counter])
     assert expected_order[experiment_counter] == last_experiment
     print("Index was as expected. Evaluation finished.")
-    return successful[last_experiment[0]][last_experiment[1]]
+    return 1 if successful[last_experiment[0]][last_experiment[1]] else 0
 
 subexperiment_evaluator.execute = subexperiment_evaluator_execute
 
 def test_step_strategy():
-    print("strt test")
-    assert True
     # declare parameters
     uc="test-uc"
     partitions=40