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/lag_analysis.py

@@ -13,7 +13,7 @@ instances = sys.argv[4]
 execution_minutes = int(sys.argv[5])
 time_diff_ms = int(os.getenv('CLOCK_DIFF_MS', 0))
 
-prometheus_query_path = 'http://localhost:9090/api/v1/query_range'
+prometheus_query_path = 'http://kube1.internal:32529/api/v1/query_range'
 
 #http://localhost:9090/api/v1/query_range?query=sum%20by(job,topic)(kafka_consumer_consumer_fetch_manager_metrics_records_lag)&start=2015-07-01T20:10:30.781Z&end=2020-07-01T20:11:00.781Z&step=15s