Python脚本操作在Linux下实现系统性能监测与优化

import psutil
import matplotlib.pyplot as plt

def get_cpu_usage():
    return psutil.cpu_percent()

def plot_cpu_usage():
    plt.axis([0, 100, 0, 1])
    plt.ion()
    while True:
        cpu_usage = get_cpu_usage()
        plt.scatter(cpu_usage, 0.5, c='r')
        plt.pause(1)
        plt.clf()

if __name__ == '__main__':
    plot_cpu_usage()

import psutil
import matplotlib.pyplot as plt

def get_memory_usage():
    return psutil.virtual_memory().percent

def plot_memory_usage():
    plt.axis([0, 100, 0, 1])
    plt.ion()
    while True:
        memory_usage = get_memory_usage()
        plt.scatter(memory_usage, 0.5, c='b')
        plt.pause(1)
        plt.clf()

if __name__ == '__main__':
    plot_memory_usage()

import psutil
import matplotlib.pyplot as plt

def get_network_usage():
    io_counters = psutil.net_io_counters()
    return io_counters.bytes_sent, io_counters.bytes_recv

def plot_network_usage():
    plt.axis([0, 10, 0, 1])
    plt.ion()
    while True:
        bytes_sent, bytes_recv = get_network_usage()
        plt.scatter(bytes_sent, 0.5, c='g')
        plt.scatter(bytes_recv, 0.5, c='y')
        plt.pause(1)
        plt.clf()

if __name__ == '__main__':
    plot_network_usage()

def optimize_cpu_usage():
    with open('/proc/sys/kernel/sched_child_runs_first', 'w') as f:
        f.write('1')
    with open('/proc/sys/kernel/sched_child_runs_first', 'r') as f:
        print(f.read())

if __name__ == '__main__':
    optimize_cpu_usage()

def optimize_memory_usage():
    with open('/proc/sys/vm/swappiness', 'w') as f:
        f.write('10')
    with open('/proc/sys/vm/swappiness', 'r') as f:
        print(f.read())

if __name__ == '__main__':
    optimize_memory_usage()

def optimize_network_usage():
    with open('/proc/sys/net/ipv4/tcp_congestion_control', 'w') as f:
        f.write('bic')
    with open('/proc/sys/net/ipv4/tcp_congestion_control', 'r') as f:
        print(f.read())

if __name__ == '__main__':
    optimize_network_usage()