mirror of
https://github.com/edgelesssys/constellation.git
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251 lines
9.1 KiB
Python
251 lines
9.1 KiB
Python
"""Generate graphs comparing K-Bench benchmarks across cloud providers and Constellation."""
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import json
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import os
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import tempfile
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from collections import defaultdict
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from pathlib import Path
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from urllib import request
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import numpy as np
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from matplotlib import pyplot as plt
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from matplotlib import font_manager as fm
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SUBJECTS_AZURE = ['constellation-azure', 'AKS']
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SUBJECTS_GCP = ['constellation-gcp', 'GKE']
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LEGEND_NAMES_AZURE = ['Constellation', 'AKS']
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LEGEND_NAMES_GCP = ['Constellation', 'GKE']
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BAR_COLORS = ['#90FF99', '#929292', '#8B04DD', '#000000']
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FONT_URL = "https://github.com/google/fonts/raw/main/apache/roboto/static/Roboto-Regular.ttf"
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FONT_NAME = "Roboto-Regular.ttf"
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FONT_SIZE = 13
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# Some lookup dictionaries for x axis
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fio_iops_unit = 'IOPS'
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fio_bw_unit = 'MiB/s'
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net_unit = 'Mbit/s'
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def configure() -> str:
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"""Read the benchmark data paths.
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Expects ENV vars (required):
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- BDIR=benchmarks
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Raises TypeError if at least one of them is missing.
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Returns: out_dir
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"""
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out_dir = os.environ.get('BDIR', None)
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if not out_dir:
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raise TypeError(
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'ENV variables BDIR is required.')
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return out_dir
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def bar_chart(data, title='', unit='', x_label=''):
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# """Draws a bar chart with multiple bars per data point.
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# Args:
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# data (dict[str, list]): Benchmark data dictionary: subject -> lists of value points
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# title (str, optional): The title for the chart. Defaults to "".
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# suffix (str, optional): The suffix for values e.g. "MiB/s". Defaults to "".
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# x_label (str, optional): The label for the x-axis. Defaults to "".
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# Returns:
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# fig (matplotlib.pyplot.figure): The pyplot figure
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# """
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# Create plot and set configs
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plt.rcdefaults()
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plt.rc('font', family=FONT_NAME, size=FONT_SIZE)
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fig, ax = plt.subplots(figsize=(10, 5))
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# Calculate y positions
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y_pos = np.arange(len(data))
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bars = ax.barh(y_pos, data.values(), align='center', color=BAR_COLORS)
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# Axis formatting
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ax.spines['top'].set_visible(False)
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ax.spines['right'].set_visible(False)
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ax.spines['left'].set_visible(False)
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ax.spines['bottom'].set_color('#DDDDDD')
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ax.tick_params(bottom=False, left=False)
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ax.set_axisbelow(True)
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ax.xaxis.grid(True, color='#EEEEEE')
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ax.yaxis.grid(False)
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# Bar annotations
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for bar in bars:
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ax.text(
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1.03*bar.get_width(),
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bar.get_y() + bar.get_height() / 2,
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f'{bar.get_width():.0f}',
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verticalalignment='center',
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)
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# Set labels and titles
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ax.set_yticks(y_pos, labels=data.keys())
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ax.invert_yaxis() # labels read top-to-bottom
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ax.set_xlabel(x_label, fontdict={"fontsize": 12})
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if unit != '':
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unit = f"({unit})"
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ax.set_title(f'{title} {unit}', fontdict={
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"fontsize": 20, 'weight': 'bold'})
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plt.tight_layout()
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# plt.show()
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return fig
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def main():
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""" Download and setup fonts"""
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path = Path(tempfile.mkdtemp())
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font_path = path / FONT_NAME
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request.urlretrieve(FONT_URL, font_path)
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font = fm.FontEntry(fname=str(font_path), name=FONT_NAME)
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fm.fontManager.ttflist.append(font)
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"""Read the files and create diagrams."""
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out_dir = configure()
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combined_results = defaultdict(dict)
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for test in SUBJECTS_AZURE+SUBJECTS_GCP:
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# Read the previous results
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read_path = os.path.join(
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out_dir, '{subject}.json'.format(subject=test))
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try:
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with open(read_path, 'r') as res_file:
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combined_results[test].update(json.load(res_file))
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except OSError as e:
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raise ValueError(
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'Failed reading {subject} benchmark records: {e}'.format(subject=test, e=e))
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# Network charts
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# P2P TCP + UDP Azure
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net_data = {}
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for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
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net_data[l+" - TCP"] = int(combined_results[s]
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['knb']['pod2pod']['tcp_bw_mbit'])
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for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
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net_data[l+" - UDP"] = int(combined_results[s]
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['knb']['pod2pod']['udp_bw_mbit'])
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bar_chart(data=net_data,
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title='K8S CNI Benchmark - Pod to Pod - Azure - Bandwidth',
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unit=net_unit,
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x_label=f"Bandwidth in {net_unit} - Higher is better")
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save_name = os.path.join(out_dir, 'benchmark_net_p2p_azure.png')
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plt.savefig(save_name)
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# P2P TCP + UDP GCP
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net_data = {}
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for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
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net_data[l+" - TCP"] = int(combined_results[s]
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['knb']['pod2pod']['tcp_bw_mbit'])
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for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
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net_data[l+" - UDP"] = int(combined_results[s]
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['knb']['pod2pod']['udp_bw_mbit'])
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bar_chart(data=net_data,
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title='K8S CNI Benchmark - Pod to Pod - GCP - Bandwidth',
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unit=net_unit,
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x_label=f"Bandwidth in {net_unit} - Higher is better")
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save_name = os.path.join(out_dir, 'benchmark_net_p2p_gcp.png')
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plt.savefig(save_name)
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# P2SVC TCP + UDP Azure
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net_data = {}
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for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
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net_data[l+" - TCP"] = int(combined_results[s]
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['knb']['pod2svc']['tcp_bw_mbit'])
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for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
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net_data[l+" - UDP"] = int(combined_results[s]
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['knb']['pod2svc']['udp_bw_mbit'])
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bar_chart(data=net_data,
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title='K8S CNI Benchmark - Pod to Service - Azure - Bandwidth',
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unit=net_unit,
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x_label=f"Bandwidth in {net_unit} - Higher is better")
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save_name = os.path.join(out_dir, 'benchmark_net_p2svc_azure.png')
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plt.savefig(save_name)
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# P2P TCP + UDP GCP
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net_data = {}
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for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
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net_data[l+" - TCP"] = int(combined_results[s]
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['knb']['pod2svc']['tcp_bw_mbit'])
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for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
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net_data[l+" - UDP"] = int(combined_results[s]
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['knb']['pod2svc']['udp_bw_mbit'])
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bar_chart(data=net_data,
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title='K8S CNI Benchmark - Pod to Service - GCP - Bandwidth',
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unit=net_unit,
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x_label=f"Bandwidth in {net_unit} - Higher is better")
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save_name = os.path.join(out_dir, 'benchmark_net_p2svc_gcp.png')
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plt.savefig(save_name)
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# FIO charts
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# IOPS on Azure
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fio_data = {}
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for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
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fio_data[l+" - Read"] = int(combined_results[s]
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['fio']['read_iops']['iops'])
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for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
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fio_data[l+" - Write"] = int(combined_results[s]
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['fio']['write_iops']['iops'])
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bar_chart(data=fio_data,
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title='FIO Benchmark - Azure - IOPS',
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x_label=f"{fio_iops_unit} - Higher is better")
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save_name = os.path.join(out_dir, 'benchmark_fio_azure_iops.png')
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plt.savefig(save_name)
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# IOPS on GCP
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fio_data = {}
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for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
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fio_data[l+" - Read"] = int(combined_results[s]
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['fio']['read_iops']['iops'])
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for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
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fio_data[l+" - Write"] = int(combined_results[s]
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['fio']['write_iops']['iops'])
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bar_chart(data=fio_data,
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title='FIO Benchmark - GCP - IOPS',
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x_label=f"{fio_iops_unit} - Higher is better")
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save_name = os.path.join(out_dir, 'benchmark_fio_gcp_iops.png')
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plt.savefig(save_name)
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# Bandwidth on Azure
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fio_data = {}
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for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
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fio_data[l+" - Read"] = int(combined_results[s]
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['fio']['read_bw']['bw_kbytes'] / 1024)
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for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
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fio_data[l+" - Write"] = int(combined_results[s]
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['fio']['write_bw']['bw_kbytes'] / 1024)
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bar_chart(data=fio_data,
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title='FIO Benchmark - Azure - Bandwidth',
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x_label=f"Bandwidth in {fio_bw_unit} - Higher is better")
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save_name = os.path.join(out_dir, 'benchmark_fio_azure_bw.png')
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plt.savefig(save_name)
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# Bandwidth on GCP
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fio_data = {}
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for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
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fio_data[l+" - Read"] = int(combined_results[s]
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['fio']['read_bw']['bw_kbytes'] / 1024)
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for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
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fio_data[l+" - Write"] = int(combined_results[s]
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['fio']['write_bw']['bw_kbytes'] / 1024)
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bar_chart(data=fio_data,
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title='FIO Benchmark - GCP - Bandwidth',
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x_label=f"Bandwidth in {fio_bw_unit} - Higher is better")
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save_name = os.path.join(out_dir, 'benchmark_fio_gcp_bw.png')
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plt.savefig(save_name)
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if __name__ == '__main__':
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main()
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