Working version

Author: bedogni@unimore.it

None

@@ -1,16 +1,23 @@
 inference_id,timestamp,avg_device_time,min_device_time,max_device_time,avg_edge_time,min_edge_time,max_edge_time,num_device_layers,num_edge_layers
-1,2026-01-21T19:19:17.471255,0.010910704984503278,0.010067939758300781,0.012644767761230469,0,0,0,59,0
-2,2026-01-21T19:19:19.020886,0.011460065841674805,0.011460065841674805,0.011460065841674805,0.0006384972868294552,0.0005071163177490234,0.001268148422241211,1,58
-3,2026-01-21T19:19:20.546745,0.01173710823059082,0.01173710823059082,0.01173710823059082,0.0008302187097483668,0.0006759166717529297,0.0027070045471191406,1,58
-4,2026-01-21T19:19:22.091189,0.012285947799682617,0.012285947799682617,0.012285947799682617,0.0009110015014122272,0.0006470680236816406,0.0023860931396484375,1,58
-5,2026-01-21T19:19:23.617468,0.012113094329833984,0.012113094329833984,0.012113094329833984,0.0008099449091944201,0.0006158351898193359,0.0018260478973388672,1,58
-6,2026-01-21T19:19:25.256828,0.011109113693237305,0.011109113693237305,0.011109113693237305,0.0007914304733276367,0.0005650520324707031,0.0013270378112792969,1,58
-7,2026-01-21T19:19:26.818955,0.01017308235168457,0.01017308235168457,0.01017308235168457,0.0009169373018988248,0.0006320476531982422,0.002526998519897461,1,58
-8,2026-01-21T19:19:28.425736,0.01236104965209961,0.01236104965209961,0.01236104965209961,0.0010416096654431574,0.0007081031799316406,0.005360841751098633,1,58
-9,2026-01-21T19:19:29.947933,0.01035308837890625,0.01035308837890625,0.01035308837890625,0.0008198721655483903,0.0006811618804931641,0.0013899803161621094,1,58
-10,2026-01-21T19:19:31.451980,0.010391950607299805,0.010391950607299805,0.010391950607299805,0.0008155025284865807,0.0006880760192871094,0.0012340545654296875,1,58
-11,2026-01-21T19:19:33.099707,0.012675046920776367,0.012675046920776367,0.012675046920776367,0.0007025578926349508,0.000553131103515625,0.0010211467742919922,1,58
-12,2026-01-21T19:19:34.630296,0.010178089141845703,0.010178089141845703,0.010178089141845703,0.0007392168045043945,0.0005629062652587891,0.0016140937805175781,1,58
-13,2026-01-21T19:19:36.205286,0.010623931884765625,0.010623931884765625,0.010623931884765625,0.0007768129480296168,0.0005660057067871094,0.001711130142211914,1,58
-14,2026-01-21T19:19:37.731927,0.01018524169921875,0.01018524169921875,0.01018524169921875,0.0007240073434237776,0.0005450248718261719,0.0018589496612548828,1,58
-15,2026-01-21T19:19:39.266810,0.010265111923217773,0.010265111923217773,0.010265111923217773,0.0007337825051669417,0.0005698204040527344,0.0016589164733886719,1,58
+1,2026-02-04T15:49:24.962111,0.011809454125873113,0.010092735290527344,0.012803077697753906,0,0,0,59,0
+2,2026-02-04T15:49:26.493623,0.010304927825927734,0.010304927825927734,0.010304927825927734,0.00061744657056085,0.0004999637603759766,0.0011599063873291016,1,58
+3,2026-02-04T15:49:27.997687,0.011980772018432617,0.011980772018432617,0.011980772018432617,0.0006725007090075262,0.0005371570587158203,0.0011990070343017578,1,58
+4,2026-02-04T15:49:29.497425,0.012717008590698242,0.012717008590698242,0.012717008590698242,0.0006455511882387359,0.0005211830139160156,0.000843048095703125,1,58
+5,2026-02-04T15:49:30.999902,0.012842893600463867,0.012842893600463867,0.012842893600463867,0.0006555565472306876,0.0005099773406982422,0.00119781494140625,1,58
+6,2026-02-04T15:49:32.509711,0.012573957443237305,0.012573957443237305,0.012573957443237305,0.0006742025243824926,0.0005130767822265625,0.0009589195251464844,1,58
+7,2026-02-04T15:49:34.004307,0.010714054107666016,0.010714054107666016,0.010714054107666016,0.000712275505065918,0.0005090236663818359,0.001220703125,1,58
+8,2026-02-04T15:49:35.505271,0.010465621948242188,0.010465621948242188,0.010465621948242188,0.0007045885612224711,0.0005021095275878906,0.0009799003601074219,1,58
+9,2026-02-04T15:49:37.003349,0.011183738708496094,0.011183738708496094,0.011183738708496094,0.0007283605378249596,0.0005092620849609375,0.0013759136199951172,1,58
+10,2026-02-04T15:49:38.490122,0.011852025985717773,0.011852025985717773,0.011852025985717773,0.0006547714101857152,0.0005021095275878906,0.0010399818420410156,1,58
+11,2026-02-04T15:49:40.079253,0.011282205581665039,0.011282205581665039,0.011282205581665039,0.0006785844934397731,0.0005238056182861328,0.001238107681274414,1,58
+12,2026-02-04T15:49:41.599533,0.012867212295532227,0.012867212295532227,0.012867212295532227,0.000675419281268942,0.0005249977111816406,0.0013461112976074219,1,58
+13,2026-02-04T15:49:43.107832,0.013029813766479492,0.013029813766479492,0.013029813766479492,0.0006772649699244006,0.0005290508270263672,0.0015611648559570312,1,58
+14,2026-02-04T15:49:44.612841,0.012887954711914062,0.012887954711914062,0.012887954711914062,0.0007193499598009833,0.0005228519439697266,0.0018067359924316406,1,58
+15,2026-02-04T15:49:46.113043,0.011921882629394531,0.011921882629394531,0.011921882629394531,0.0007090034156010069,0.0005388259887695312,0.0019199848175048828,1,58
+16,2026-02-04T15:49:47.612943,0.012920856475830078,0.012920856475830078,0.012920856475830078,0.0006758837864316743,0.0005352497100830078,0.0014712810516357422,1,58
+17,2026-02-04T15:49:49.227098,0.012883901596069336,0.012883901596069336,0.012883901596069336,0.001018853023134429,0.0005309581756591797,0.01961970329284668,1,58
+18,2026-02-04T15:49:50.720964,0.011802196502685547,0.011802196502685547,0.011802196502685547,0.0006776431511188375,0.0005331039428710938,0.0011360645294189453,1,58
+19,2026-02-04T15:49:52.219665,0.011064767837524414,0.011064767837524414,0.011064767837524414,0.0006408732512901569,0.0005114078521728516,0.0010612010955810547,1,58
+20,2026-02-04T15:49:53.712919,0.011616230010986328,0.011616230010986328,0.011616230010986328,0.0006521940231323242,0.0005202293395996094,0.001068115234375,1,58
+21,2026-02-04T15:49:55.220580,0.012316226959228516,0.012316226959228516,0.012316226959228516,0.0006290674209594727,0.0005283355712890625,0.0008947849273681641,1,58
+22,2026-02-04T15:49:56.741926,0.011439085006713867,0.011439085006713867,0.011439085006713867,0.000652202244462638,0.0005362033843994141,0.0011911392211914062,1,58

analyze_simulation.py

@@ -79,11 +79,11 @@ def _load_data(self):
                     with open(config_file, 'r') as f:
                         self.configs[scenario_name] = json.load(f)
                 except Exception as e:
-                    print(f"  ⚠ Error loading config for {scenario_name}: {e}")
+                    print(f"  WARNING: Error loading config for {scenario_name}: {e}")
 
     def analyze_all(self):
         """Generate all analysis plots"""
-        print("\n📈 Generating analysis plots...\n")
+        print("\nGenerating analysis plots...\n")
 
         self.plot_device_vs_edge_time()
         self.plot_total_inference_time()
@@ -93,7 +93,7 @@ def analyze_all(self):
         self.plot_scenario_comparison()
         self.generate_summary_stats()
 
-        print(f"\n✅ Analysis complete! Plots saved to: {self.output_dir}\n")
+        print(f"\nAnalysis complete! Plots saved to: {self.output_dir}\n")
 
     def plot_device_vs_edge_time(self):
         """Compare device vs edge execution times"""
@@ -127,7 +127,7 @@ def plot_device_vs_edge_time(self):
         plt.tight_layout()
         plt.savefig(self.output_dir / "01_device_vs_edge_time.png", dpi=150, bbox_inches='tight')
         plt.close()
-        print("  ✓ Device vs Edge time comparison")
+        print("  Device vs Edge time comparison")
 
     def plot_total_inference_time(self):
         """Plot total (device + edge) inference time per scenario"""
@@ -160,7 +160,7 @@ def plot_total_inference_time(self):
         plt.tight_layout()
         plt.savefig(self.output_dir / "02_total_inference_time.png", dpi=150, bbox_inches='tight')
         plt.close()
-        print("  ✓ Total inference time comparison")
+        print("  Total inference time comparison")
 
     def plot_throughput_comparison(self):
         """Plot throughput (inferences per second) for each scenario"""
@@ -206,7 +206,7 @@ def plot_throughput_comparison(self):
         plt.tight_layout()
         plt.savefig(self.output_dir / "03_throughput_comparison.png", dpi=150, bbox_inches='tight')
         plt.close()
-        print("  ✓ Throughput comparison")
+        print("  Throughput comparison")
 
     def plot_timing_distributions(self):
         """Create boxplots of timing distributions"""
@@ -238,7 +238,7 @@ def plot_timing_distributions(self):
         plt.tight_layout()
         plt.savefig(self.output_dir / "04_timing_distributions.png", dpi=150, bbox_inches='tight')
         plt.close()
-        print("  ✓ Timing distribution boxplots")
+        print("  Timing distribution boxplots")
 
     def plot_layer_statistics(self):
         """Plot number of layers executed on device vs edge"""
@@ -269,7 +269,7 @@ def plot_layer_statistics(self):
         plt.tight_layout()
         plt.savefig(self.output_dir / "05_layer_statistics.png", dpi=150, bbox_inches='tight')
         plt.close()
-        print("  ✓ Layer statistics comparison")
+        print("  Layer statistics comparison")
 
     def plot_scenario_comparison(self):
         """Create a comprehensive scenario comparison dashboard"""
@@ -375,7 +375,7 @@ def plot_scenario_comparison(self):
         plt.tight_layout()
         plt.savefig(self.output_dir / "06_scenario_comparison_dashboard.png", dpi=150, bbox_inches='tight')
         plt.close()
-        print("  ✓ Scenario comparison dashboard")
+        print("  Scenario comparison dashboard")
 
     def generate_summary_stats(self):
         """Generate summary statistics table"""
@@ -453,7 +453,7 @@ def main():
         analyzer = SimulationAnalyzer(results_dir)
         analyzer.analyze_all()
     except Exception as e:
-        print(f"\n❌ Error: {e}")
+        print(f"\nERROR: {e}")
         import traceback
         traceback.print_exc()
         sys.exit(1)

example_analysis.py

@@ -172,7 +172,7 @@
 output_path = analyzer.output_dir / "custom_analysis.csv"
 custom_df.to_csv(output_path, index=False)
 
-print(f"✅ Exported custom analysis to: {output_path}")
+print(f"PASS: Exported custom analysis to: {output_path}")
 print("\nCustom analysis data:")
 print(custom_df.to_string())
 
@@ -235,5 +235,5 @@
 
 
 print("\n" + "=" * 80)
-print("✅ All examples completed!")
+print("All examples completed!")
 print("=" * 80)

generate_analysis.py

@@ -25,10 +25,10 @@ def run_command(cmd, description):
         )
         if result.stdout:
             print(result.stdout)
-        print(f"✓ {description} completed successfully")
+        print(f"PASS: {description} completed successfully")
         return True
     except subprocess.CalledProcessError as e:
-        print(f"✗ {description} failed with exit code {e.returncode}")
+        print(f"FAIL: {description} failed with exit code {e.returncode}")
         if e.stdout:
             print("STDOUT:", e.stdout)
         if e.stderr:

logs/DEBUG.log.2025-06-26

@@ -60,7 +60,7 @@ def register_device():
         print("Registration:", r.status_code, r.text)
         return True
     except requests.exceptions.RequestException as e:
-        print(f"⚠ Registration failed (server unreachable): {e}")
+        print(f"WARNING: Registration failed (server unreachable): {e}")
         print("  → Continuing with local-only inference")
         return False
 
@@ -89,7 +89,7 @@ def send_image():
         print("Image sent:", r.status_code)
         return True
     except requests.exceptions.RequestException as e:
-        print(f"⚠ Image send failed (server unreachable): {e}")
+        print(f"WARNING: Image send failed (server unreachable): {e}")
         return False
 
 # ----------------------------
@@ -107,7 +107,7 @@ def get_offloading_layer():
             print("Error requesting layer:", r.status_code)
             return LAST_OFFLOADING_LAYER
     except requests.exceptions.RequestException as e:
-        print(f"⚠ Cannot reach server: {e}")
+        print(f"WARNING: Cannot reach server: {e}")
         print("  → Running all layers locally")
         return LAST_OFFLOADING_LAYER
 
@@ -194,7 +194,7 @@ def send_inference_result(output_data, inference_times, layer_index, message_id)
         print("Output sent:", r.status_code)
         return True
     except requests.exceptions.RequestException as e:
-        print(f"⚠ Cannot send result to server: {e}")
+        print(f"WARNING: Cannot send result to server: {e}")
         print("  → Local inference completed, result not synchronized")
         return False
 
@@ -211,7 +211,7 @@ def main():
     # Try to register, but continue even if it fails
     server_available = register_device()
     if not server_available:
-        print("\n⚠ Server not available - Running in LOCAL-ONLY mode")
+        print("\nWARNING: Server not available - Running in LOCAL-ONLY mode")
         print("  Client will continue and retry server connection on each request\n")
 
     while True:
@@ -231,7 +231,7 @@ def main():
         # Try to send results (for variance tracking and algorithm updates)
         send_inference_result(output_data, inference_times, best_layer, message_id)
 
-        print(f"✓ Inference complete (layers 0-{best_layer})\n")
+        print(f"Inference complete (layers 0-{best_layer})\n")
 
 main()
 

logs/INFO.log.2025-06-26

@@ -3,14 +3,11 @@ client:
   device_id: device_01
 delay_simulation:
   device_computation:
-    enabled: true
-    std_dev: 0.5
-    type: static
-    value: 0.0001
+    enabled: false
   network:
     enabled: true
-    mean: 0.5
-    std_dev: 1
+    mean: 0.04
+    std_dev: 0.02
     type: gaussian
 http:
   endpoints:

server_client_light/client/http_client.py

@@ -0,0 +1,31 @@
+client:
+  client_id: null
+  device_id: device_01
+delay_simulation:
+  device_computation:
+    enabled: true
+    mean: 0.1
+    std_dev: 0.1
+    type: gaussian
+  network:
+    enabled: true
+    type: static
+    value: 0.02
+http:
+  endpoints:
+    device_inference_result: /api/device_inference_result
+    device_input: /api/device_input
+    offloading_layer: /api/offloading_layer
+    registration: /api/registration
+  server_host: 0.0.0.0
+  server_port: 8000
+local_inference_mode:
+  enabled: false
+  probability: 0.0
+model:
+  image_name: img.png
+  input_height: 96
+  input_width: 96
+  last_offloading_layer: 58
+  submodel_prefix: submodel
+  tflite_subdir: tflite