diff --git a/perf-om2m/img/network.png b/perf-om2m/img/network.png
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diff --git a/perf-om2m/simulation.py b/perf-om2m/simulation.py
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+#!/usr/bin/env python3
+import argparse
+import math
+import numpy as np
+
+'''
+Rappel des notations:
+H -> HTTP Server
+R -> Resource
+D -> Database 
+T -> Thread
+---
+LAMBDA -> Entrée
+MU -> Sortie
+
+'''
+
+def rejection_probability():
+    # Counter when T is empty
+    kappa = 0
+    # Initially, N thread is given
+    X_T = N
+    # Number of message received
+    msg_recu = 0
+    proba_sortie = 0
+
+    for _ in range(STEPS):
+        entree_proba = np.random.exponential(1/LAMBDA_H)
+        sortie_proba = np.random.exponential(1/MU_H)
+
+        # If an arrival occurs first
+        if entree_proba < sortie_proba:
+            msg_recu += 1
+            if X_T > 0:
+                X_T -= 1
+            else:
+                kappa += 1
+        else:
+            proba_sortie += 1
+            if X_T < N:
+                X_T += 1
+    
+    print(msg_recu)
+    print(kappa)
+    print(proba_sortie)
+    return kappa/msg_recu
+
+def create_network():
+    STATE_VECTOR[0] = N
+    
+def simulate_network():
+    print(f"Simating for {STEPS} steps:")
+    for _ in range(STEPS):
+        msg_received = np.random.exponential(1/LAMBDA_H)
+        msg_send = np.random.exponential(1/MU_H)
+         = np.random.exponential(1/MU_R)
+        sortie_proba = np.random.exponential(1/MU_D)
+    
+
+# General variables
+STATE_VECTOR = [0,0,0,0]
+STEPS = 100000
+
+LAMBDA_H = 3
+MU_H = 1
+MU_R = 1
+MU_D = 1
+# Tokens (Processors) for Resources 
+C = 1
+# Available Token (Thread) for the HTTP Server
+N = 1
+
+def parse():
+    # Parsing arguments
+    parser = argparse.ArgumentParser(description="A simple script to parse the -n argument with a number.")
+    parser.add_argument('-n', '--number', type=int, required=True, help='The size of the queue')
+    args = parser.parse_args()
+    # Access the number
+    return args.number
+
+if __name__ == "__main__":
+    create_network()
+    print(f"Probability of rejection: {rejection_probability():.4f}")
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