integrated M3SA, updated with tests and CpuPowerModels

1 files changed, 32 insertions, 0 deletions

diff --git a/opendc-experiments/opendc-experiments-m3sa/src/main/python/models/model.py b/opendc-experiments/opendc-experiments-m3sa/src/main/python/models/model.py
new file mode 100644
index 00000000..bfffd090
--- /dev/null
+++ b/opendc-experiments/opendc-experiments-m3sa/src/main/python/models/model.py
@@ -0,0 +1,32 @@
+"""
+A model is the output of simulator. It contains the data the simulator output, under a certain topology, seed,
+workload, datacenter configuration, etc. A model is further used in the analyzer as part of the MultiModel class,
+and further in the MetaModel class.
+
+:param sim: the simulation data of the model
+"""
+import json
+
+
+class Model:
+    """
+    Represents a single simulation output containing various data metrics collected under specific simulation conditions.
+    A Model object stores raw and processed simulation data and is designed to interact with higher-level structures like
+    MultiModel and MetaModel for complex data analysis.
+    """
+
+    def __init__(self, raw_sim_data, identifier: str):
+        self.raw_sim_data = raw_sim_data
+        self.id: str = str(identifier)
+        self.processed_sim_data = []
+        self.cumulative_time_series_values = []
+        self.cumulated: float = 0.0
+        self.experiment_name: str = ""
+        self.margins_of_error = []
+        self.topologies = []
+        self.workloads = []
+        self.allocation_policies = []
+        self.carbon_trace_paths = []
+
+    def is_meta_model(self) -> bool:
+        return self.id == "M"