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bachelor-project-nikolaj.tex

@@ -288,7 +288,7 @@
         \begin{tabular}{|c||c|c|c|c|}\hline
             \textbf{Identifier} & \textbf{CPU} & \textbf{Cores} & \textbf{Clock speed} & \textbf{Memory} \\ \hline
             Laptop & Intel i5-8250U & 4 & 1.6GHz & 8GB \\ \hline
-            Desktop & & & & \\ \hline
+            Desktop & Intel i7-7700K & 4 & 4.2GHz & 32GB \\ \hline
         \end{tabular}
     \end{table}
 
@@ -309,21 +309,21 @@
             100 & 45ms & 0.45ms & 7.2s & 72ms & 0.86s & 8.6ms \\\hline
             1,000 & 0.63s & 0.63ms & 17s & 17ms & 5.6s & 5.6ms \\\hline\hline
             \multicolumn{7}{|c|}{\textbf{Desktop}} \\ \hline
-            1 & & & & & &  \\\hline
-            10 & & & & & &  \\\hline
-            100 & & & & & &  \\\hline
-            1000 & & & & & &  \\\hline
+            1 & 0.40ms & 0.40ms & 2.2ms & 2.2ms & 1.6ms & 1.6ms  \\\hline
+            10 & 3.0ms & 0.30ms & 1.0s & 0.10s & 56ms & 5.6ms  \\\hline
+            100 & 25ms & 0.25ms & 2.2s & 22ms & 0.44s & 4.4ms \\\hline
+            1000 & 0.24s & 0.24ms & 16s & 16ms & 5.2s & 5.2ms  \\\hline
         \end{tabular}
         \caption{The results of the Single Listener performance tests with 2 significant digits.}
     \end{table}
 
     \begin{figure}[H]
         \centering
-        \includegraphics[width=0.8\textwidth]{src/performance_results/laptop_single_listener.png}
+        \includegraphics[width=\textwidth]{src/performance_results/single_listener.png}
         \caption{The results of the Single Listener performance test plotted logarithmically.}
     \end{figure}
 
-    Upon examination of the results, an pattern emerges. The minimum recorded response times consistently averaged around 0.5ms per event, regardless of the number of events sent. This time likely reflects an ideal scenario where events are registered seamlessly without any delays or issues within the pipeline, thereby showcasing the efficiency potential of the network event triggers in the MEOW system.
+    Upon examination of the results, an pattern emerges. The minimum recorded response times consistently averaged around 0.5ms per event for the laptop and 0.3ms per event for the desktop, regardless of the number of events sent. This time likely reflects an ideal scenario where events are registered seamlessly without any delays or issues within the pipeline, thereby showcasing the efficiency potential of the network event triggers in the MEOW system.
 
     In contrast, the maximum and average response times exhibited more variability. This fluctuation in response times may be attributed to various factors such as network latency, the internal processing load of the system, and the inherent unpredictability of concurrent event handling.
 
@@ -338,24 +338,24 @@
         \centering
         \begin{tabular}{|p{1.5cm}||P{2.5cm}|P{2.5cm}|P{2.5cm}|}
             \hline
-            \textbf{Listener} & \textbf{Minimum time} & \textbf{Maximum time} & \textbf{Average time} \\ \hline
+            \textbf{Listener} & \textbf{Minimum time} & \textbf{Maximum time} & \textbf{Average time} \\ \hline\hline
             \multicolumn{4}{|c|}{\textbf{Laptop}} \\ \hline
             1 & 0.63s & 17s & 5.6s  \\\hline
             10 & 0.46s & 25s & 7.6s \\\hline
             100 & 0.42s & 20s & 7.1s  \\\hline
-            1000 & 0.92s & 3.24s & 1.49s   \\\hline
+            1000 & 0.92s & 3.24s & 1.49s   \\\hline\hline
             \multicolumn{4}{|c|}{\textbf{Desktop}} \\ \hline
-            1 & & &  \\\hline
-            10 & & & \\\hline
-            100 & & & \\\hline
-            1000 & & & \\\hline
+            1 & 0.24s & 16s & 5.2s \\\hline
+            10 & 0.24s & 19s & 4.0s \\\hline
+            100 & 0.25s & 10s & 1.0s \\\hline
+            1000 & 0.38s & 0.42s & 0.40s \\\hline
         \end{tabular}
         \caption{The results of the Multiple Listeners performance tests with 2 significant digits.}
     \end{table}
 
     \begin{figure}[H]
         \centering
-        \includegraphics[width=0.8\textwidth]{src/performance_results/laptop_multiple_listeners.png}
+        \includegraphics[width=\textwidth]{src/performance_results/multiple_listeners.png}
         \caption{The results of the Multiple Listeners performance test plotted logarithmically.}
     \end{figure}
 

src/make_graphs.py

@@ -1,49 +1,105 @@
 import matplotlib.pyplot as plt
 
-def laptop_single_listener():
-    plt.figure()
+plt.rcParams.update({'font.size':22})
+
+def single_listener():
+    fig, (ax1,ax2) = plt.subplots(1,2)
+
     x = [1,10,100,1000]
-    y1 = [0.00068,0.0047,0.045,00.63]
-    y2 = [0.00530,2.1000,7.200,17.00]
-    y3 = [0.00210,0.1800,0.860,05.60]
 
-    plt.plot(x, y2, label="Maximum")
-    plt.plot(x, y3, label="Average")
-    plt.plot(x, y1, label="Minimum")
+    y11 = [0.00068,0.0047,0.045,00.63]
+    y12 = [0.00530,2.1000,7.200,17.00]
+    y13 = [0.00210,0.1800,0.860,05.60]
 
-    plt.legend()
-    plt.grid()
+    ax1.plot(x, y12, label="Maximum", linewidth=5)
+    ax1.plot(x, y13, label="Average", linewidth=5)
+    ax1.plot(x, y11, label="Minimum", linewidth=5)
 
-    plt.xlabel("Event count")
-    plt.ylabel("Time (Laptop)")
+    ax1.legend()
+    ax1.grid(linewidth=2)
+    ax1.set_title("Laptop")
 
-    plt.xscale("log")
-    plt.yscale("log")
+    ax1.set_xlabel("Event count")
+    ax1.set_ylabel("Time")
 
-    plt.savefig("performance_results/laptop_single_listener.png")
+    ax1.set_xscale("log")
+    ax1.set_yscale("log")
+
+    ###
+
+    y21 = [0.0004,0.003,0.025,00.24]
+    y22 = [0.0022,1.000,2.200,16.00]
+    y23 = [0.0016,0.056,0.440,05.20]
+
+    ax2.plot(x, y22, label="Maximum", linewidth=5)
+    ax2.plot(x, y23, label="Average", linewidth=5)
+    ax2.plot(x, y21, label="Minimum", linewidth=5)
+
+    ax2.legend()
+    ax2.grid(linewidth=2)
+    ax2.set_title("Desktop")
+
+    ax2.set_xlabel("Event count")
+    ax2.set_ylabel("Time")
+
+    ax2.set_xscale("log")
+    ax2.set_yscale("log")
+
+    fig.set_figheight(12)
+    fig.set_figwidth(25)
+    fig.set_dpi(100)
+
+    fig.savefig("performance_results/single_listener.png")
+
+def multiple_listeners():
+    fig, (ax1,ax2) = plt.subplots(1,2)
 
-def laptop_multiple_listeners():
-    plt.figure()
     x = [1,10,100,1000]
-    y1 = [00.63,00.46,00.42,00.92]
-    y2 = [17.00,25.00,20.00,03.24]
-    y3 = [05.60,07.60,07.10,01.49]
 
-    plt.plot(x, y2, label="Maximum")
-    plt.plot(x, y3, label="Average")
-    plt.plot(x, y1, label="Minimum")
+    y11 = [00.63,00.46,00.42,00.92]
+    y12 = [17.00,25.00,20.00,03.24]
+    y13 = [05.60,07.60,07.10,01.49]
 
-    plt.legend()
-    plt.grid()
+    ax1.plot(x, y12, label="Maximum", linewidth=5)
+    ax1.plot(x, y13, label="Average", linewidth=5)
+    ax1.plot(x, y11, label="Minimum", linewidth=5)
 
-    plt.xlabel("Listener count")
-    plt.ylabel("Time (Laptop)")
+    ax1.legend()
+    ax1.grid(linewidth=2)
+    ax1.set_title("Laptop")
 
-    plt.xscale("log")
-    plt.yscale("log")
+    ax1.set_xlabel("Listener count")
+    ax1.set_ylabel("Time")
 
-    plt.savefig("performance_results/laptop_multiple_listeners.png")
+    ax1.set_xscale("log")
+    ax1.set_yscale("log")
+
+    ###
+
+    y21 = [00.24,00.24,00.25,0.38]
+    y22 = [16.00,19.00,10.00,0.42]
+    y23 = [05.20,04.00,01.00,0.4]
+
+    ax2.plot(x, y12, label="Maximum", linewidth=5)
+    ax2.plot(x, y13, label="Average", linewidth=5)
+    ax2.plot(x, y11, label="Minimum", linewidth=5)
+
+    ax2.legend()
+    ax2.grid(linewidth=2)
+    ax2.set_title("Desktop")
+
+    ax2.set_xlabel("Listener count")
+    ax2.set_ylabel("Time")
+
+    ax2.set_xscale("log")
+    ax2.set_yscale("log")
+
+    fig.set_figheight(12)
+    fig.set_figwidth(25)
+    fig.set_dpi(100)
+
+    fig.savefig("performance_results/multiple_listeners.png")
 
 if __name__ == "__main__":
-    laptop_single_listener()
-    laptop_multiple_listeners()
+    single_listener()
+    multiple_listeners()