diff --git a/.gitignore b/.gitignore
index 0ddc37c..13af17b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,3 @@
 graphs/venv/
+graphs/figs/
+graphs/__pycache__/
diff --git a/graphs/build.py b/graphs/build.py
new file mode 100644
index 0000000..cf63d3b
--- /dev/null
+++ b/graphs/build.py
@@ -0,0 +1,15 @@
+import rtt
+import ric
+import ram
+import cpu
+import iperf
+import ping
+import retransmissions
+
+rtt.build()
+ric.build()
+ram.build()
+cpu.build()
+iperf.build()
+ping.build()
+retransmissions.build()
diff --git a/graphs/cpu.py b/graphs/cpu.py
index fbbcdbb..65fc9cd 100644
--- a/graphs/cpu.py
+++ b/graphs/cpu.py
@@ -2,7 +2,6 @@
 import matplotlib.pyplot as plt
 import matplotlib as mpl
 
-mpl.use('QtAgg') 
 files = [
     [
         "../logs/oai/oai/iperf/cpu-ran.csv",
@@ -33,7 +32,7 @@
     ],
 ]
 
-rans = ["OAI", "srsRAN"]
+rans = ["OAI RAN", "srsRAN"]
 
 cores = [
     "OAI CN",
@@ -49,24 +48,34 @@ def readfile(file: str, skip: int):
     return data
 
 
-# there are 40 measurements total. They were taken every 15s
-# so in total the test lasted 600s
-x = np.arange(40) * 15 # the label locations
+def build(save=True):
+    # there are 40 measurements total. They were taken every 15s
+    # so in total the test lasted 600s
+    x = np.arange(40) * 15 # the label locations
 
-colors = ["#7EA16B", "#C3D898"]
-fig, axes = plt.subplots(1, 3, layout='constrained')
+    colors = ["#7EA16B", "#C3D898"]
+    fig, axes = plt.subplots(1, 3, layout='constrained')
 
-for tests, offsets, ax, core in zip(files, skip, axes, cores):
-    ax.set_ylim(0, 12)
-    for ran, color, test, offset in zip(rans, colors, tests, offsets):
-        data = readfile(test, offset)
-        rects = ax.plot(x, data, label=ran, color=color)
-    ax.set_xlabel(core, fontsize=12)
+    for tests, offsets, ax, core in zip(files, skip, axes, cores):
+        ax.set_ylim(0, 12)
+        for ran, color, test, offset in zip(rans, colors, tests, offsets):
+            data = readfile(test, offset)
+            rects = ax.plot(x, data, label=ran, color=color)
+        ax.set_xlabel(core, fontsize=12)
 
 # Add some text for labels, title and custom x-axis tick labels, etc.
-fig.supylabel('Consumo de CPU (%)', fontsize=14)
+    fig.supylabel('Consumo de CPU (%)', fontsize=14)
 #axes[len(axes)//2].set_xlabel("Tempo (s)", fontsize=14)
-axes[-1].legend(loc='upper right', ncols=2, fontsize=12)
-fig.supxlabel("Tempo (s)", fontsize=14)
+    axes[-1].legend(loc='upper right', ncols=2, fontsize=12)
+    fig.supxlabel("Tempo (s)", fontsize=14)
 
-plt.show()
+#fig.set_tight_layout()
+    fig.set_size_inches(10.4, 4.2)
+#plt.show()
+    if save:
+        fig.savefig("figs/cpu.pdf", dpi=100)
+
+if __name__ == "__main__":
+    build(False)
+    mpl.use('QtAgg') 
+    plt.show()
diff --git a/graphs/iperf.py b/graphs/iperf.py
index 7ee491f..84d99f5 100644
--- a/graphs/iperf.py
+++ b/graphs/iperf.py
@@ -4,7 +4,6 @@
 import matplotlib as mpl
 import json
 
-mpl.use('QtAgg') 
 files = ["../logs/oai/oai/iperf/oai-oaicn",
          "../logs/srsran/oai/iperf/20240304-oai",
          "../logs/oai/open5gs/iperf/oai-open5gs",
@@ -18,7 +17,7 @@
         "Free5Gc",
 ]
 rans = [
-        "OAI",
+        "OAI RAN",
         "srsRAN",
         "_OAI",
         "_srsRAN",
@@ -26,7 +25,7 @@
         "_srsRAN",
 ]
 count = len(files)
-ax = plt.subplot()
+fig, ax = plt.subplots(1,1)
 
 def conv(x):
     return float(x['sum']['bits_per_second'])/1_000_000
@@ -34,23 +33,33 @@ def conv(x):
 def from_iter(x):
     return np.fromiter(map(conv, x['intervals']), float)
 
-ax.set_ylabel("Taxa de transferência (Mbps)", fontsize=14)
+def build(save=True):
+    ax.set_ylabel("Taxa de Transferência (Mbps)", fontsize=16)
 
-dataset = []
-for i in range(count):
-    with open(files[i], "r") as file:
-        data = json.load(file)
-    dataset.append(list(from_iter(data)))
+    dataset = []
+    for i in range(count):
+        with open(files[i], "r") as file:
+            data = json.load(file)
+        dataset.append(list(from_iter(data)))
 
-colors = ["#7EA16B", "#C3D898"]
-b = ax.boxplot(dataset, labels=rans, medianprops={"color": "#000000"})
-for i in range(len(b['boxes'])):
-    box = b['boxes'][i]
-    ax.add_patch(Polygon(box.get_xydata(), facecolor=colors[i%2], label=rans[i]))
+    colors = ["#7EA16B", "#C3D898"]
+    b = ax.boxplot(dataset, labels=rans, medianprops={"color": "#000000"})
+    for i in range(len(b['boxes'])):
+        box = b['boxes'][i]
+        ax.add_patch(Polygon(box.get_xydata(), facecolor=colors[i%2], label=rans[i]))
 
-x = np.arange(len(labels)) * 2 + 1.5
-ax.set_xticks(x, labels, fontsize=12)
-ax.set_ylim((50,130))
-ax.legend(loc='upper right', ncols=2, fontsize=12)
+    x = np.arange(len(labels)) * 2 + 1.5
+    ax.set_xticks(x, labels, fontsize=16)
+    ax.set_ylim((50,130))
+    ax.legend(loc='upper right', ncols=2, fontsize=14)
 
-plt.show()
+    fig.set_size_inches(10.4, 4.2)
+    plt.tight_layout()
+#plt.show()
+    if save:
+        fig.savefig("figs/iperf.pdf", dpi=100)
+
+if __name__ == "__main__":
+    build(save=False)
+    mpl.use('QtAgg') 
+    plt.show()
diff --git a/graphs/ping.py b/graphs/ping.py
index 289a5e1..7434aab 100644
--- a/graphs/ping.py
+++ b/graphs/ping.py
@@ -3,7 +3,6 @@
 from matplotlib.patches import Polygon
 import matplotlib as mpl
 
-mpl.use('QtAgg') 
 NUM_ROWS = 600
 
 def conv(x: str):
@@ -30,30 +29,41 @@ def read_file(path: str):
         "Free5Gc",
 ]
 rans = [
-        "OAI",
+        "OAI RAN",
         "srsRAN",
         "_OAI",
         "_srsRAN",
         "_OAI",
         "_srsRAN",
 ]
-count = len(paths)
 
-ax = plt.subplot()
+def build(save=True):
+    count = len(paths)
 
+    fig, ax = plt.subplots(1,1)
 
-dataset = list(map(lambda path: read_file(path), paths))
-ax.set_ylabel("Latência (ms)", fontsize=14)
-ax.set_ylim((0, 64))
-colors = ["#7EA16B", "#C3D898"]
-b = ax.boxplot(dataset, labels=rans, medianprops={"color": "#000000"})
-for i in range(len(b['boxes'])):
-    box = b['boxes'][i]
-    ax.add_patch(Polygon(box.get_xydata(), facecolor=colors[i%2], label=rans[i]))
 
-x = np.arange(len(labels)) * 2 + 1.5
-ax.set_xticks(x, labels, fontsize=12)
+    dataset = list(map(lambda path: read_file(path), paths))
+    ax.set_ylabel("Latência (ms)", fontsize=16)
+    ax.set_ylim((0, 64))
+    colors = ["#7EA16B", "#C3D898"]
+    b = ax.boxplot(dataset, labels=rans, medianprops={"color": "#000000"})
+    for i in range(len(b['boxes'])):
+        box = b['boxes'][i]
+        ax.add_patch(Polygon(box.get_xydata(), facecolor=colors[i%2], label=rans[i]))
 
-ax.legend(loc='upper right', ncols=2, fontsize=12)
+    x = np.arange(len(labels)) * 2 + 1.5
+    ax.set_xticks(x, labels, fontsize=16)
 
-plt.show()
+    ax.legend(loc='upper right', ncols=2, fontsize=14)
+
+    fig.set_size_inches(10.4, 4.2)
+    plt.tight_layout()
+#plt.show()
+    if save:
+        fig.savefig("figs/ping.pdf", dpi=100)
+
+if __name__ == "__main__":
+    build(False)
+    mpl.use('QtAgg') 
+    plt.show()
diff --git a/graphs/ram-boxplot.py b/graphs/ram-boxplot.py
deleted file mode 100644
index 1ace781..0000000
--- a/graphs/ram-boxplot.py
+++ /dev/null
@@ -1,86 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib as mpl
-from itertools import cycle
-from matplotlib.patches import Polygon
-
-
-mpl.use('QtAgg') 
-files = [
-    "../logs/oai/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 15 53 24.csv", # core
-    "../logs/oai/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 15 52 37.csv", # RAN
-    "../logs/srsran/oai/iperf/core/Memory Basic-data-as-joinbyfield-2024-03-04 17 44 59.csv", # core
-    "../logs/srsran/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 17 43 53.csv", # RAN
-    "../logs/oai/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 16 21 22.csv", # core
-    "../logs/oai/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 16 21 00.csv", # RAN
-    "../logs/srsran/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-20 17 22 53.csv", # core
-    "../logs/srsran/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-20 17 23 19.csv", # RAN
-    "../logs/oai/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 44 19.csv", # core
-    "../logs/oai/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 45 26.csv", # RAN
-    "../logs/srsran/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 13 53.csv", # core
-    "../logs/srsran/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 13 29.csv", # RAN
-]
-# how many samples to skip until the start of the experiment
-skips = [
-    14,    
-    14,    
-    9,
-    10,
-    16,
-    17,
-    16,
-    13,
-    18,
-    13,
-    16,
-    18,
-]
-labels = [
-        "OAI CN",
-        "Open5Gs",
-        "Free5Gc",
-]
-
-rans = [
-        "OAI",
-        "OAI (core)",
-        "srsRAN",
-        "srsRAN (core)",
-        "_OAI",
-        "_OAI",
-        "_srsRAN",
-        "_srsRAN",
-        "_OAI",
-        "_OAI",
-        "_srsRAN",
-        "_srsRAN",
-    ]
-
-def conv(x):
-    return float(x[:-4])
-
-def readfile(file: str, skip: int):
-    data = np.genfromtxt(file, delimiter=",", skip_header=skip, max_rows=40, usecols=[2], converters={2: conv})
-    return data
-
-
-colors = ["#7EA16B", "#7EA16B", "#C3D898", "#C3D898"]
-fig, ax = plt.subplots(layout='constrained')
-
-data = []
-for file, skip in zip(files, skips):
-    data.append(readfile(file, skip))
-
-b = ax.boxplot(data, labels=rans, medianprops={"color": "#000000"})
-
-for box, ran, color, hatch in zip(b['boxes'], rans, cycle(colors), cycle(['/', ''])):
-    ax.add_patch(Polygon(box.get_xydata(), facecolor=color, label=ran, hatch=hatch))
-
-# Add some text for labels, title and custom x-axis tick labels, etc.
-ax.set_ylabel('Comsumo de memória no núcleo (GB)', fontsize=14)
-x = np.arange(len(labels)) * 4 + 2.5
-ax.set_xticks(x, labels, fontsize=12)
-ax.set_ylim(0, 10)
-ax.legend(loc='upper right', ncols=2, fontsize=12)
-
-plt.show()
diff --git a/graphs/ram-core-boxplot.py b/graphs/ram-core-boxplot.py
deleted file mode 100644
index 1a36c77..0000000
--- a/graphs/ram-core-boxplot.py
+++ /dev/null
@@ -1,72 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib as mpl
-from itertools import cycle
-
-mpl.use('QtAgg') 
-files = [
-    "../logs/oai/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 15 53 24.csv", # core
-    #"../logs/oai/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 15 52 37.csv", # RAN
-    "../logs/srsran/oai/iperf/core/Memory Basic-data-as-joinbyfield-2024-03-04 17 44 59.csv", # core
-    #"../logs/srsran/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 17 43 53.csv", # RAN
-    "../logs/oai/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 16 21 22.csv", # core
-    #"../logs/oai/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 16 21 00.csv", # RAN
-    "../logs/srsran/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-20 17 22 53.csv", # core
-    #"../logs/srsran/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-20 17 23 19.csv", # RAN
-    "../logs/oai/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 44 19.csv", # core
-    #"../logs/oai/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 45 26.csv", # RAN
-    "../logs/srsran/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 13 53.csv", # core
-    #"../logs/srsran/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 13 29.csv", # RAN
-]
-# how many samples to skip until the start of the experiment
-skips = [
-    14,    
-    9,
-    16,
-    16,
-    18,
-    16,
-]
-labels = [
-        "OAI CN",
-        "Open5Gs",
-        "Free5Gc",
-]
-
-rans = [
-        "OAI",
-        "srsRAN",
-        "_OAI",
-        "_srsRAN",
-        "_OAI",
-        "_srsRAN",
-    ]
-
-def conv(x):
-    return float(x[:-4])
-
-def readfile(file: str, skip: int):
-    data = np.genfromtxt(file, delimiter=",", skip_header=skip, max_rows=40, usecols=[2], converters={2: conv})
-    return data
-
-
-colors = ["#7EA16B", "#C3D898"]
-fig, ax = plt.subplots(layout='constrained')
-
-data = []
-for file, skip in zip(files, skips):
-    data.append(readfile(file, skip))
-
-b = ax.boxplot(data, labels=rans, medianprops={"color": "#000000"})
-for box, ran, color in zip(b['boxes'], rans, cycle(colors)):
-    box.set_gapcolor(color)
-    box.set_label(ran)
-
-# Add some text for labels, title and custom x-axis tick labels, etc.
-ax.set_ylabel('Comsumo de memória no núcleo (GB)', fontsize=14)
-x = np.arange(len(labels)) * 2 + 1.5
-ax.set_xticks(x, labels, fontsize=12)
-ax.set_ylim(0, 2)
-ax.legend(loc='upper right', ncols=2, fontsize=12)
-
-plt.show()
diff --git a/graphs/ram-errorbar-core.py b/graphs/ram-errorbar-core.py
deleted file mode 100644
index 48b6c2d..0000000
--- a/graphs/ram-errorbar-core.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib as mpl
-from itertools import cycle
-from matplotlib.patches import Polygon
-
-
-mpl.use('QtAgg') 
-files = [
-    "../logs/oai/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 15 53 24.csv", # core
-    "../logs/srsran/oai/iperf/core/Memory Basic-data-as-joinbyfield-2024-03-04 17 44 59.csv", # core
-    "../logs/oai/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 16 21 22.csv", # core
-    "../logs/srsran/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-20 17 22 53.csv", # core
-    "../logs/oai/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 44 19.csv", # core
-    "../logs/srsran/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 13 53.csv", # core
-]
-# how many samples to skip until the start of the experiment
-skips = [
-    14,    
-    9,
-    16,
-    16,
-    18,
-    16,
-]
-labels = [
-        "OAI CN",
-        "Open5Gs",
-        "Free5Gc",
-]
-
-rans = [
-        "OAI",
-        "srsRAN",
-        "_OAI",
-        "_srsRAN",
-        "_OAI",
-        "_srsRAN",
-    ]
-
-def conv(x):
-    return float(x[:-4])
-
-def readfile(file: str, skip: int):
-    data = np.genfromtxt(file, delimiter=",", skip_header=skip, max_rows=40, usecols=[2], converters={2: conv})
-    return data
-
-
-colors = ["#7EA16B", "#C3D898"]
-fig, ax = plt.subplots(layout='constrained')
-
-xaxis = np.arange(len(files))
-for file, skip, x, color, ran in zip(files, skips, xaxis, cycle(colors), rans):
-    data = readfile(file, skip)
-    median = np.median(data)
-    stddev = np.std(data)
-    ax.errorbar(x, median, yerr=stddev, label=ran, color=color, capsize=3.0, linewidth=4.2, capthick=4.2)
-
-# Add some text for labels, title and custom x-axis tick labels, etc.
-ax.set_ylabel('Comsumo de memória no núcleo (GB)', fontsize=14)
-x = np.arange(len(labels))*2 + 0.5
-ax.set_xticks(x, labels, fontsize=12)
-ax.set_ylim(1.1, 1.4)
-ax.legend(loc='upper right', ncols=2, fontsize=12)
-
-plt.show()
diff --git a/graphs/ram-errorbar.py b/graphs/ram-errorbar.py
deleted file mode 100644
index f82373c..0000000
--- a/graphs/ram-errorbar.py
+++ /dev/null
@@ -1,85 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib as mpl
-from itertools import cycle
-from matplotlib.patches import Polygon
-
-
-mpl.use('QtAgg') 
-files = [
-    "../logs/oai/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 15 53 24.csv", # core
-    "../logs/oai/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 15 52 37.csv", # RAN
-    "../logs/srsran/oai/iperf/core/Memory Basic-data-as-joinbyfield-2024-03-04 17 44 59.csv", # core
-    "../logs/srsran/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 17 43 53.csv", # RAN
-    "../logs/oai/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 16 21 22.csv", # core
-    "../logs/oai/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 16 21 00.csv", # RAN
-    "../logs/srsran/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-20 17 22 53.csv", # core
-    "../logs/srsran/open5gs/iperf/Memory Basic-data-as-joinbyfield-2024-03-20 17 23 19.csv", # RAN
-    "../logs/oai/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 44 19.csv", # core
-    "../logs/oai/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 45 26.csv", # RAN
-    "../logs/srsran/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 13 53.csv", # core
-    "../logs/srsran/free5gc/iperf/Memory Basic-data-as-joinbyfield-2024-03-04 18 13 29.csv", # RAN
-]
-# how many samples to skip until the start of the experiment
-skips = [
-    14,    
-    14,    
-    9,
-    10,
-    16,
-    17,
-    16,
-    13,
-    18,
-    13,
-    16,
-    18,
-]
-labels = [
-        "OAI CN",
-        "Open5Gs",
-        "Free5Gc",
-]
-
-rans = [
-        "OAI",
-        "OAI (core)",
-        "srsRAN",
-        "srsRAN (core)",
-        "_OAI",
-        "_OAI",
-        "_srsRAN",
-        "_srsRAN",
-        "_OAI",
-        "_OAI",
-        "_srsRAN",
-        "_srsRAN",
-    ]
-
-def conv(x):
-    return float(x[:-4])
-
-def readfile(file: str, skip: int):
-    data = np.genfromtxt(file, delimiter=",", skip_header=skip, max_rows=40, usecols=[2], converters={2: conv})
-    return data
-
-
-colors = ["#7EA16B", "#7EA16B", "#C3D898", "#C3D898"]
-ecolors = ["#cccccc", "#000000"]
-fig, ax = plt.subplots(layout='constrained')
-
-xaxis = np.arange(len(files))
-for file, skip, x, color, ran, ecolor in zip(files, skips, xaxis, cycle(colors), rans, cycle(ecolors)):
-    data = readfile(file, skip)
-    median = np.median(data)
-    stddev = np.std(data)
-    ax.errorbar(x, median, yerr=stddev, label=ran, color=color, capsize=3.0, ecolor=ecolor)
-
-# Add some text for labels, title and custom x-axis tick labels, etc.
-ax.set_ylabel('Comsumo de memória no núcleo (GB)', fontsize=14)
-x = np.arange(len(labels)) * 4 + 1.5
-ax.set_xticks(x, labels, fontsize=12)
-ax.set_ylim(0, 10)
-ax.legend(loc='upper right', ncols=2, fontsize=12)
-
-plt.show()
diff --git a/graphs/ram.py b/graphs/ram.py
index db07cf8..7ac02d9 100644
--- a/graphs/ram.py
+++ b/graphs/ram.py
@@ -2,7 +2,6 @@
 import matplotlib.pyplot as plt
 import matplotlib as mpl
 
-mpl.use('QtAgg') 
 files = [
     #"../logs/oai/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 15 53 24.csv", # core
     "../logs/oai/oai/iperf/Memory Basic-data-as-joinbyfield-2024-03-05 15 52 37.csv", # RAN
@@ -32,34 +31,48 @@
         "Free5Gc",
 ]
 
-rans = ["OAI", "srsRAN"]
+rans = [
+        "OAI RAN", "srsRAN",
+        "_OAI", "_srsRAN",
+        "_OAI", "_srsRAN",
+]
 
 def conv(x):
     return float(x[:-4])
 
 def readfile(file: str, skip: int):
     data = np.genfromtxt(file, delimiter=",", skip_header=skip, max_rows=40, usecols=[2], converters={2: conv})
-    return np.average(data)
+    return (np.average(data), np.std(data))
 
 
-x = np.arange(len(labels))  # the label locations
-width = 0.33  # the width of the bars
-multiplier = 0
+def build(save=True):
+    x = np.arange(len(labels))
+    width = 0.33  # the width of the bars
+    multiplier = 0
 
-colors = ["#7EA16B", "#C3D898"]
-fig, ax = plt.subplots(layout='constrained')
+    colors = ["#7EA16B", "#C3D898"]
+    fig, ax = plt.subplots(layout='constrained')
 
-for i in range(len(rans)):
-    offset = width * multiplier
-    data = (readfile(files[i], skip[i]), readfile(files[i+2], skip[i+2]), readfile(files[i+4], skip[i+4]))
-    rects = ax.bar(x + offset, data, width, label=rans[i], color=colors[i])
-    ax.bar_label(rects, padding=2)
-    multiplier += 1
+    for i in range(len(files)):
+        offset = width * multiplier
+        data = readfile(files[i], skip[i])
+        rects = ax.bar(offset, data[0], width, yerr=data[1], label=rans[i], color=colors[i%2])
+        if i & 1 == 1:
+            multiplier += 1
+        multiplier += 1
 
 # Add some text for labels, title and custom x-axis tick labels, etc.
-ax.set_ylabel('Consumo de mémoria na RAN (GB)', fontsize=14)
-ax.set_xticks(x + width/2, labels, fontsize=12)
-ax.set_ylim(0, 10)
-ax.legend(loc='upper right', ncols=2, fontsize=12)
+    ax.set_ylabel('Consumo de Mémoria (GB)', fontsize=14)
+    ax.set_xticks(x + width/2, labels, fontsize=12)
+    ax.set_ylim(0, 10)
+    ax.legend(loc='upper right', ncols=2, fontsize=12)
 
-plt.show()
+#fig.set_tight_layout()
+    fig.set_size_inches(8, 4.2)
+#plt.show()
+    if save:
+        fig.savefig("figs/ram.pdf", dpi=100)
+if __name__ == "__main__":
+    build(False)
+    mpl.use('QtAgg') 
+    plt.show()
diff --git a/graphs/retransmissions.py b/graphs/retransmissions.py
index c1e92eb..d4f4049 100644
--- a/graphs/retransmissions.py
+++ b/graphs/retransmissions.py
@@ -3,7 +3,6 @@
 import matplotlib as mpl
 import json
 
-mpl.use('QtAgg') 
 files = ["../logs/oai/oai/iperf/oai-oaicn",
          "../logs/srsran/oai/iperf/20240304-oai",
          "../logs/oai/open5gs/iperf/oai-open5gs",
@@ -17,7 +16,7 @@
         "Free5Gc",
 ]
 
-rans = ["OAI", "srsRAN"]
+rans = ["OAI RAN", "srsRAN"]
 
 def conv(x):
     return (x['end']['sum_sent']['retransmits'] * 1358) / x['end']['sum_sent']['bytes']
@@ -27,26 +26,32 @@ def readfile(file):
         data = json.load(file)
     return conv(data)
 
+def build(save=True):
+    x = np.arange(len(labels))  # the label locations
+    width = 0.33  # the width of the bars
+    multiplier = 0
 
-x = np.arange(len(labels))  # the label locations
-width = 0.33  # the width of the bars
-multiplier = 0
+    colors = ["#7EA16B", "#C3D898"]
+    fig, ax = plt.subplots(layout='constrained')
 
-colors = ["#7EA16B", "#C3D898"]
-fig, ax = plt.subplots(layout='constrained')
-
-for i in range(len(rans)):
-    offset = width * multiplier
-    index = i
-    data = (readfile(files[index]), readfile(files[index+2]), readfile(files[index+4]))
-    rects = ax.bar(x + offset, data, width, label=rans[i], color=colors[i])
-    ax.bar_label(rects, padding=2)
-    multiplier += 1
+    for i in range(len(rans)):
+        offset = width * multiplier
+        index = i
+        data = (readfile(files[index]), readfile(files[index+2]), readfile(files[index+4]))
+        rects = ax.bar(x + offset, data, width, label=rans[i], color=colors[i])
+        multiplier += 1
 
 # Add some text for labels, title and custom x-axis tick labels, etc.
-ax.set_ylabel('Número de pacotes retransmitidos', fontsize=14)
-ax.set_xticks(x + width/2, labels, fontsize=12)
-ax.set_ylim(0, 0.001)
-ax.legend(loc='upper right', ncols=2, fontsize=12)
-
-plt.show()
+    ax.set_ylabel('Taxa Retransmissão de Pacotes (%)', fontsize=14)
+    ax.set_xticks(x + width/2, labels, fontsize=12)
+    ax.set_ylim(0, 0.001)
+    ax.legend(loc='upper right', ncols=2, fontsize=12)
+    fig.set_size_inches(8, 4.2)
+#plt.show()
+    if save:
+        fig.savefig("figs/retrans.pdf", dpi=100)
+
+if __name__ == "__main__":
+    build(False)
+    mpl.use('QtAgg') 
+    plt.show()
diff --git a/graphs/ric-sep.py b/graphs/ric-sep.py
deleted file mode 100644
index cfd61ae..0000000
--- a/graphs/ric-sep.py
+++ /dev/null
@@ -1,56 +0,0 @@
-from matplotlib.patches import Polygon
-import matplotlib.pyplot as plt
-import matplotlib as mpl
-
-mpl.use('QtAgg') 
-charts = [ 
-         [
-        "../logs/oai-flexric-values-only.log",
-        "../logs/srsran-flexric.logs",
-        ],
-        ["../logs/bouncer-values-only.log",]
-]
-labels = [
-        "Flexric",
-        "ORAN SC RIC",
-]
-rans = [
-        ["OAI RAN",
-        "srsRAN",],
-        ["srsRAN",],
-]
-limits = [
-    (0, 4000),
-    (0, 1_200),
-]
-
-ylabels = [
-    "Tempo de Resposta (μs)",
-    "Tempo de Resposta (ms)",
-]
-
-scaling_factor = [
-    1,
-    1_000,
-]
-
-fig, axes = plt.subplots(1, len(charts))
-
-
-colors = [["#7EA16B", "#C3D898",], ["#C3D898"],]
-for files, ax, label, ran, color, limit, ylabel, sf in zip(charts, axes, labels, rans, colors, limits, ylabels, scaling_factor):
-    dataset = []
-    for file in files:
-        with open(file, "r") as file:
-            data = map(lambda line: int(line[:-1])/sf, file.readlines())
-        dataset.append(list(data))
-    b = ax.boxplot(dataset, medianprops={"color": "#000000"}, widths=0.8)
-    for box, c, r in zip(b['boxes'], color, ran):
-        ax.add_patch(Polygon(box.get_xydata(), facecolor=c, label=r))
-    ax.legend(loc='upper right', ncols=2, fontsize=12)
-    ax.set_ylim(limit)
-    ax.set_xlabel(label)
-    ax.set_ylabel(ylabel, fontsize=14)
-    ax.set_xticks([])
-
-plt.show()
diff --git a/graphs/ric.py b/graphs/ric.py
index 7ebafa7..2746691 100644
--- a/graphs/ric.py
+++ b/graphs/ric.py
@@ -1,42 +1,66 @@
 from matplotlib.patches import Polygon
-import numpy as np
 import matplotlib.pyplot as plt
 import matplotlib as mpl
 
-mpl.use('QtAgg') 
-files = [
+charts = [ 
+         [
         "../logs/oai-flexric-values-only.log",
         "../logs/srsran-flexric.logs",
-        "../logs/bouncer-values-only.log",
+        ],
+        ["../logs/bouncer-values-only.log",]
 ]
 labels = [
-        "Flexric",
         "Flexric",
         "ORAN SC RIC",
 ]
 rans = [
-        "OAI",
-        "srsRAN",
-        "_srsRAN",
+        ["OAI RAN",
+        "srsRAN",],
+        ["srsRAN",],
+]
+limits = [
+    (0, 4000),
+    (0, 1_200),
+]
+
+ylabels = [
+    "Tempo de Resposta (μs)",
+    "Tempo de Resposta (ms)",
 ]
-count = len(files)
-ax = plt.subplot()
 
-ax.set_ylabel("Tempo de Resposta (us)", fontsize=14)
+scaling_factor = [
+    1,
+    1_000,
+]
+
+def build(save=True):
+    fig, axes = plt.subplots(1, len(charts))
+
 
-dataset = []
-for i in range(count):
-    with open(files[i], "r") as file:
-        data = map(lambda line: int(line[:-1]), file.readlines())
-    dataset.append(list(data))
+    colors = [["#7EA16B", "#C3D898",], ["#C3D898"],]
+    for files, ax, label, ran, color, limit, ylabel, sf in zip(charts, axes, labels, rans, colors, limits, ylabels, scaling_factor):
+        dataset = []
+        for file in files:
+            with open(file, "r") as file:
+                data = map(lambda line: int(line[:-1])/sf, file.readlines())
+            dataset.append(list(data))
+        b = ax.boxplot(dataset, medianprops={"color": "#000000"}, widths=0.25*len(files))
+        for box, c, r in zip(b['boxes'], color, ran):
+            ax.add_patch(Polygon(box.get_xydata(), facecolor=c, label=r))
+        ax.legend(loc='upper right', ncols=2, fontsize=12)
+        ax.set_ylim(limit)
+        ax.set_xlabel(label, fontsize=14)
+        ax.set_ylabel(ylabel, fontsize=14)
+        ax.set_xticks([])
 
-colors = ["#7EA16B", "#C3D898", "#C3D898"]
-b = ax.boxplot(dataset, labels=rans, medianprops={"color": "#000000"})
-for box, color, ran in zip(b['boxes'], colors, rans):
-    ax.add_patch(Polygon(box.get_xydata(), facecolor=color, label=ran))
+    fig.tight_layout(pad=0.1)
 
-x = np.arange(len(labels)) + 1
-ax.set_xticks(x, labels, fontsize=12)
-ax.legend(loc='upper right', ncols=2, fontsize=12)
+    fig.set_size_inches(8, 4.2)
+#plt.show()
+    if save:
+        fig.savefig("figs/ric.pdf", dpi=100)
 
-plt.show()
+if __name__ == "__main__":
+    build(False)
+    mpl.use('QtAgg') 
+    plt.show()
diff --git a/graphs/rtt.py b/graphs/rtt.py
index a0fc26e..d569772 100644
--- a/graphs/rtt.py
+++ b/graphs/rtt.py
@@ -4,7 +4,6 @@
 import matplotlib as mpl
 import json
 
-mpl.use('QtAgg') 
 files = ["../logs/oai/oai/iperf/oai-oaicn",
          "../logs/srsran/oai/iperf/20240304-oai",
          "../logs/oai/open5gs/iperf/oai-open5gs",
@@ -18,7 +17,7 @@
         "Free5Gc",
 ]
 rans = [
-        "OAI",
+        "OAI RAN",
         "srsRAN",
         "_OAI",
         "_srsRAN",
@@ -26,9 +25,6 @@
         "_srsRAN",
 ]
 
-count = len(files)
-total_count = len(labels)
-ax = plt.subplot()
 
 def conv(x):
     stream = x['streams'][0]
@@ -38,22 +34,37 @@ def conv(x):
 def from_iter(x):
     return [conv(t) for t in x['intervals']]
 
-ax.set_ylabel("Tempo de ida e volta (ms)", fontsize=14)
+def build(save=True):
+    count = len(files)
+    total_count = len(labels)
+    fig, ax = plt.subplots(1,1)
+    fig.supylabel("Tempo de Ida e Volta (ms)", fontsize=16)
 
-dataset = []
-for i in range(count):
-    with open(files[i], "r") as file:
-        data = json.load(file)
-    dataset.append(list(from_iter(data)))
+    dataset = []
+    for i in range(count):
+        with open(files[i], "r") as file:
+            data = json.load(file)
+        dataset.append(list(from_iter(data)))
 
-colors = ["#7EA16B", "#C3D898"]
-b = ax.boxplot(dataset, labels=rans, medianprops={"color": "#000000"})
-for i in range(len(b['boxes'])):
-    box = b['boxes'][i]
-    ax.add_patch(Polygon(box.get_xydata(), facecolor=colors[i%2], label=rans[i]))
+    colors = ["#7EA16B", "#C3D898"]
+    b = ax.boxplot(dataset, labels=rans, medianprops={"color": "#000000"})
+    for i in range(len(b['boxes'])):
+        box = b['boxes'][i]
+        ax.add_patch(Polygon(box.get_xydata(), facecolor=colors[i%2], label=rans[i]))
 
-x = np.arange(len(labels)) * 2 + 1.5
-ax.set_xticks(x, labels, fontsize=12)
-ax.legend(loc='upper right', ncols=2, fontsize=12)
+    x = np.arange(len(labels)) * 2 + 1.5
+    ax.set_xticks(x, labels, fontsize=16)
+    ax.legend(loc='upper right', ncols=2, fontsize=14)
 
-plt.show()
+#fig.tight_layout(pad=0.1)
+
+    fig.set_size_inches(10.4, 4.2)
+    plt.tight_layout()
+#plt.show()
+    if save:
+        fig.savefig("figs/rtt.pdf", dpi=100)
+
+if __name__ == "__main__":
+    build(False)
+    mpl.use('QtAgg') 
+    plt.show()