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Casper V. Kristensen 2019-12-06 11:42:21 +01:00
parent e4ec6b421e
commit c247daba01
5 changed files with 523 additions and 0 deletions
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12
graph/collect.py Normal file
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import subprocess
def main():
for num_servers in [2]:
for database_size in [2, 64, 512, 2048, 8192, 32_768, 65_536, 131_072, 262_144, 524_288, 1_048_576, 2_097_152, 4_194_304, 8_388_608]:
for block_size in [2, 64, 512, 1024, 4096, 8192, 16_384]:
subprocess.run(["java", "dk.au.pir.Driver", "-Xmx60G", str(num_servers), str(database_size), str(block_size)])
if __name__ == '__main__':
main()

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graph/graph.py Normal file
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import math
import statistics
from collections import defaultdict
import matplotlib.pyplot as plt
def load_results(filename) -> dict:
results = defaultdict(list)
with open(filename, "r") as file:
for line in file:
if "error" in line:
continue
values = line.split()
keys = [
("num_servers", int),
("database_size", int),
("block_size", int),
("protocol_name", str),
("total_cpu_time", int),
("bytes_sent", int),
("bytes_received", int)
]
d = dict([(a[0], a[1](b)) for a, b in zip(keys, values)])
results[(d["num_servers"], d["database_size"], d["block_size"], d["protocol_name"])].append(d)
return results
def clean_results(results) -> dict:
cleaned_results = defaultdict(list)
for test, result in results.items():
cpu_time = statistics.mean(sorted([int(r["total_cpu_time"]) for r in result])) # [1:-1]
cleaned_results[result[0]["protocol_name"]].append({**result[0], "total_cpu_time": cpu_time})
return cleaned_results
def plot(all_results: dict, y_func: callable, x_func: callable, title=None, y_label=None, x_label=None):
fig, ax = plt.subplots()
for protocol_name, results in all_results.items():
sorted_results = sorted(results, key=lambda r: x_func(r))
ax.plot(
[x_func(r) for r in sorted_results],
[y_func(r) for r in sorted_results],
)
ax.set_xscale("log", basex=2)
#ax.set_yscale("log", basey=10)
if x_label is not None:
plt.xlabel(x_label)
if y_label is not None:
plt.ylabel(y_label)
plt.legend(all_results.keys(), loc="upper left")
if title is not None:
plt.title(title)
plt.savefig(title.replace(" ", "_").replace("/", "") + ".pdf")
#plt.show()
if __name__ == '__main__':
plot(
clean_results(load_results("results_only_with_8_bs.log")),
y_label="Time",
x_label="Total Database Size",
title="Fixed 8-bit block size",
y_func=lambda r: max(1, r["total_cpu_time"]),
x_func=lambda r: r["database_size"] * r["block_size"]
)
plot(
clean_results(load_results("results_only_with_8_bs.log")),
y_label="Time",
x_label="Total Database Size",
title="Fixed 8-bit block size - simulated 1MiB/s tx, 5MiB/s rx",
y_func=lambda r: r["total_cpu_time"] + (r["bytes_sent"]/(1*1024)) + (r["bytes_received"]/(5*1024)), # 1024 B/ms = 1MiB/s
x_func=lambda r: r["database_size"] * r["block_size"]
)
#plot(
# {n: [r for r in rs if r["block_size"] == 2] for n, rs in clean_results(load_results("results_overflow.log")).items()},
# y_label="Time",
# x_label="Total Database Size",
# title="lol",
# y_func=lambda r: r["total_cpu_time"] + (r["bytes_sent"]/(1*1024)) + (r["bytes_received"]/(10*1024)), # 1024 B/ms = 1MiB/s
# x_func=lambda r: r["database_size"] * r["block_size"]
#)

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graph/results_only_with_8_bs.log Normal file
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290
graph/results_overflow.log Normal file
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2 64 1024 SqrtXORScheme 5 512 512

60
graph/results_small.log Normal file
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