Add additional Aurora configs for resource scaling model data collection

tools/calibration/load/aurora/COND

@@ -74,3 +74,24 @@ for instance in INSTANCE_TYPES:
         for clients, query_idx in product(NUM_CLIENTS, range(NUM_QUERIES))
       ],
     )
+
+for instance in ["r6g_4xlarge", "r6g_8xlarge"]:
+  run_experiment_group(
+    name=f"{instance}-imdb_extended_100g",
+    run="python3 -m brad.calibration.measure_load",
+    experiments=[
+      ExperimentInstance(
+        name=f"{instance}-imdb_extended_100g-1-q{query_idx}",
+        options={
+          "num-clients": 1,
+          "specific-query-idx": query_idx,
+          "run-for-s": RUN_FOR_S,
+          "avg-gap-s": AVG_GAP_S,
+          "wait-before-start": WAIT_BEFORE_START,
+          "query-file": "../../../../workloads/IMDB_100GB/scaling_20/queries.sql",
+          "engine": "aurora",
+        },
+      )
+      for query_idx in range(NUM_QUERIES)
+    ],
+  )