51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
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from quorums import *
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import matplotlib
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import matplotlib.pyplot as plt
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import numpy as np
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def main():
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a = Node('a', capacity=100)
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b = Node('b', capacity=200)
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c = Node('c', capacity=100)
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d = Node('d', capacity=200)
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e = Node('e', capacity=100)
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nodes = [a, b, c, d, e]
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quorum_systems = {
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'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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}
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for name, qs in quorum_systems.items():
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d = {0.0: 1, 0.1: 1, 0.2: 1, 0.3: 1, 0.4: 1, 0.5: 1,
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0.6: 1, 0.7: 1, 0.8: 1, 0.9: 1, 1.0: 1}
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fig, axes = plt.subplots(3, 4, figsize=(6 * 4, 4 * 3), sharey='all')
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axes_iter = (axes[row][col] for row in range(3) for col in range(4))
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for fr in d.keys():
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sigma = qs.strategy(read_fraction=fr)
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ax = next(axes_iter)
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plot_load_distribution_on(ax, sigma, nodes)
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ax.set_title(f'Optimized For Read Fraction = {fr}')
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ax.set_xlabel('Read Fraction')
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ax.legend()
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sigma = qs.strategy(read_fraction=d)
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ax = next(axes_iter)
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plot_load_distribution_on(ax, sigma, nodes)
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ax.set_title('Optimized For Uniform Read Fraction')
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ax.set_xlabel('Read Fraction')
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ax.legend()
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axes[0][0].set_ylabel('Load')
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axes[1][0].set_ylabel('Load')
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axes[2][0].set_ylabel('Load')
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fig.tight_layout()
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fig.savefig(f'{name}.pdf')
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if __name__ == '__main__':
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main()
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