33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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# Lista de valores para os eixos x e y
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tamanho_buffer = ["0.064", "0.128", "0.256", "0.512", "1", "2", "4", "8"]
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tempo_execucao_udp = [0.28, 0.24, 0.19, 0.17, 0.15, 0.14, 0.12, 0.09]
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tempo_execucao_tcp = [0.40,0.23,0.20,0.18,0.17,0.16,0.16,0.13]
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tempo_execucao_pipe = [0.01,0.01,0.01,0.01,0.01,0.01,0.012,0.01]
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tempo_execucao_unix = [0.22,0.19,0.19,0.12,0.15,0.10,0.08,0.05]
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tempo_execucao_udp.reverse()
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tempo_execucao_tcp.reverse()
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tempo_execucao_unix.reverse()
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# Cria o gráfico de linha
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plt.plot(tamanho_buffer, tempo_execucao_tcp, marker='o', linestyle='-', label='Socket TCP')
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plt.plot(tamanho_buffer, tempo_execucao_pipe, marker='o', linestyle='-', label='Pipe Connection')
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plt.plot(tamanho_buffer, tempo_execucao_unix, marker='o', linestyle='-', label='Socket UNIXDOMAIN')
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plt.plot(tamanho_buffer, tempo_execucao_udp, marker='o', linestyle='-', label='Socket UDP')
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plt.yscale('log')
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plt.legend()
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ticks_y = [0.01, 0.1,1,10]
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plt.yticks(ticks_y, [f'$10^{{{int(np.log10(val))}}}$' for val in ticks_y])
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plt.xlabel('Tamanho do buffer em (KB)')
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plt.ylabel('Tempo de execução em (ms)')
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plt.title('Desempenho de conexões UDP, TCP e UNIXDOMAIN')
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plt.grid(axis='y', linestyle='--', alpha=0.7)
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plt.show()
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