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Fix Fig3 (#92)

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Alvaro Revuelta 2024-03-06 13:12:39 +01:00 committed by GitHub
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commit 3a2da04e54
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2 changed files with 2306 additions and 2485 deletions
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rln-delay-simulations/paper_distribution.svg
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42
rln-delay-simulations/plot_paper_distribution.py
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@ -5,50 +5,42 @@ import pandas as pd
from analyze import load
latencies = pd.DataFrame({
"2kb": load("raw/paper_latency_2kb_v2.txt", "arrival_diff="),
"25kb": load("raw/paper_latency_25kb_v2.txt", "arrival_diff="),
"100kb": load("raw/paper_latency_100kb_v2.txt", "arrival_diff="),
"500kb": load("raw/paper_latency_500kb_v2.txt", "arrival_diff=")})
"2 KB": load("raw/paper_latency_2kb_v2.txt", "arrival_diff="),
"25 KB": load("raw/paper_latency_25kb_v2.txt", "arrival_diff="),
"100 KB": load("raw/paper_latency_100kb_v2.txt", "arrival_diff="),
"500 KB": load("raw/paper_latency_500kb_v2.txt", "arrival_diff=")})
num_bins = 50
# Best (1 hop) and worst (4 hops) latencies in ms
# See Table 2 from paper
multi_host_simulations = {
"2kb": [364, 477],
"25kb": [436, 945],
"100kb": [471, 1689],
"500kb": [564, 2468]
# msg_size: min/max
"2 KB": [280, 498],
"25 KB": [349, 931],
"100 KB": [350, 1781],
"500 KB": [539, 3141],
}
with plt.style.context(['science', 'ieee']):
fig, ax = plt.subplots(2, 2)
possitions = [
("2kb", ax[0][0]),
("25kb", ax[0][1]),
("100kb", ax[1][0]),
("500kb", ax[1][1])
("2 KB", ax[0][0]),
("25 KB", ax[0][1]),
("100 KB", ax[1][0]),
("500 KB", ax[1][1])
]
for (size, pos) in possitions:
# Plot single host results
latencies.hist(size, bins=num_bins, ax=pos, density=True, label="1) single-host")
latencies.hist(size, bins=num_bins, ax=pos, density=True, label="Single-host")
# Plot multi host results
pos.axvline(x=multi_host_simulations[size][0], color='red', linestyle='--', label="2) multi-host")
pos.axvline(x=multi_host_simulations[size][0], color='red', linestyle='--', label="Multi-host")
pos.axvline(x=multi_host_simulations[size][1], color='red', linestyle='--')
pos.grid(False)
title = ('size={size}\n' +
r'1) $\mu$={mean:.0f} $p_{{95}}$={p95:.0f} min={min:.0f} max={max:.0f}' + '\n' +
r'2) min={min_multi:.0f} max={max_multi:.0f}').format(
size=size,
mean=latencies[size].mean(axis=0),
p95=np.percentile(latencies[size], 95),
min=latencies[size].min(),
max=latencies[size].max(),
min_multi=multi_host_simulations[size][0],
max_multi=multi_host_simulations[size][1])
title = ('Message Size = {size}'.format(size=size))
pos.set_title(title, fontsize=8)
if size == "25kb":
pos.legend(fontsize="5", loc="upper left")
@ -56,7 +48,7 @@ with plt.style.context(['science', 'ieee']):
pos.legend(fontsize="5", loc="best")
ax[0][0].set(ylabel='Message share')
ax[1][0].set(xlabel='Latency (ms)', ylabel='Cumulative message share')
ax[1][0].set(xlabel='Latency (ms)', ylabel='Message share')
ax[1][1].set(xlabel='Latency (ms)')
plt.tight_layout(pad=0, w_pad=0, h_pad=0.7)