38 lines
1.4 KiB
Python
38 lines
1.4 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', 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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f = Node('f', write_capacity=500, read_capacity=5000)
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nodes = [a, b, c, d, e, f]
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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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fig, ax = plt.subplots(3, 3, figsize = (6.3 * 2, 4.8 * 2), sharey='row')
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for i, qs in enumerate([simple_majority, crumbling_walls, paths]):
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fr = 0.9
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sigma = qs.strategy(read_fraction=fr)
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sigma.plot_node_load_on(ax[0][i], nodes=nodes, read_fraction=fr)
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sigma.plot_node_utilization_on(ax[1][i], nodes=nodes, read_fraction=fr)
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sigma.plot_node_capacity_on(ax[2][i], 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][0].set_ylabel('Load')
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ax[1][0].set_ylabel('Utilization at Peak Throughput')
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ax[2][0].set_ylabel('Throughput at Peak Throughput')
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fig.tight_layout()
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fig.savefig('node_loads.pdf')
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if __name__ == '__main__':
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main()
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