Add Support for Benchmarking Strategies

Closes #46 (closed) @she Review needed

execution/strategies/strategies/default_strategy.py

+# Contains the default strategy that executes a subexperiment for all combinations of instances and dimension values.
+
+import os
+from .config import SubexperimentConfig
+
+def execute(config):
+    subexperiment_counter=0
+    subexperiments_total=len(config.dim_values)*len(config.replicas)
+    for dim_value in config.dim_values:
+        for replica in config.replicas:
+            subexperiment_counter+=1
+            print(f"Run subexperiment {subexperiment_counter}/{subexperiments_total} with dimension value {dim_value} and {replica} replicas.")
+
+            subexperiment_config = SubexperimentConfig(config.use_case, subexperiment_counter, dim_value, replica, config.partitions, config.cpu_limit, config.memory_limit, config.kafka_streams_commit_interval_ms, config.execution_minutes, config.subexperiment_executor)
+
+            config.subexperiment_executor.execute(subexperiment_config)