55 lines
2 KiB
Python
55 lines
2 KiB
Python
"""
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This script shows how to use plot_node_load_on, plot_node_utilization, and
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plot_node_throughput to plot the load, utilization, and throughput of nodes in
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a read-write quorum system.
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"""
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from quoracle import *
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import argparse
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import datetime
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import matplotlib
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import matplotlib.pyplot as plt
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def main(output_filename: str) -> None:
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a = Node('a', write_capacity=1000, read_capacity=10000)
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b = Node('b', write_capacity=500, read_capacity=5000)
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c = Node('c', write_capacity=1000, read_capacity=10000)
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d = Node('d', write_capacity=500, read_capacity=5000)
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e = Node('e', write_capacity=1000, read_capacity=10000)
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fr = 0.9
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nodes = [a, b, c, d, e]
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simple_majority = QuorumSystem(reads=majority([a, b, c, d, e]))
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crumbling_walls = QuorumSystem(reads=a*b + c*d*e)
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paths = QuorumSystem(reads=a*b + a*c*e + d*e + d*c*b)
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opt, _ = search(nodes, read_fraction=fr, timeout=datetime.timedelta(seconds=9))
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fig, ax = plt.subplots(3, 4, figsize = (6.3 * 2, 4.8 * 2), sharey='row')
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for i, qs in enumerate([simple_majority, crumbling_walls, paths, opt]):
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sigma = qs.strategy(read_fraction=fr)
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print(qs, sigma.capacity(read_fraction=fr))
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plot_node_load_on(ax[0][i], sigma, nodes=nodes, read_fraction=fr)
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plot_node_utilization_on(ax[1][i], sigma, nodes=nodes, read_fraction=fr)
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plot_node_throughput_on(ax[2][i], sigma, nodes=nodes, read_fraction=fr)
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ax[0][0].set_title('Simple Majority')
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ax[0][1].set_title('Crumbling Walls')
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ax[0][2].set_title('Paths')
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ax[0][3].set_title(f'Opt {opt.reads}')
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ax[0][0].set_ylabel('Load')
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ax[1][0].set_ylabel('Utilization')
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ax[2][0].set_ylabel('Throughput')
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fig.tight_layout()
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fig.savefig(output_filename)
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print(f'Wrote figure to "{output_filename}".')
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('--output',
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type=str,
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default='node_loads.pdf',
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help='Output filename')
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args = parser.parse_args()
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main(args.output)
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