python实现WFQ算法,将这个项目编程三个例程,“发送者”、“接收者”和“路由器”。使用FlowID=1、重量=1和数据包大小1024启动发件人。几秒钟后,使用FlowID=2、权重=1和数据包大小512启动另一个发送器。再过几秒钟,使用FlowID=3、权重=2和数据包大小1024启动第三个发送方。提供在每个流上接收到的总字节与时间的图表。接收方应该在每次完成一个数据包时记录时间、流ID和数据包的大小。
时间: 2024-03-14 20:47:37 浏览: 57
WFQ:Java实现的WFQ(加权公平排队)算法
5星 · 资源好评率100%
好的,这是一个比较复杂的项目,需要涉及到网络通信和算法实现。下面是一个简单的WFQ算法的Python实现,您可以根据需要进行修改和完善。
首先,我们需要定义一些常量和数据结构。假设我们使用IPv4协议,数据包格式如下:
```python
class Packet:
def __init__(self, src_ip, dst_ip, flow_id, size):
self.src_ip = src_ip
self.dst_ip = dst_ip
self.flow_id = flow_id
self.size = size
```
我们还需要定义路由器和发送者的IP地址和端口号,以及最大队列长度和时间间隔:
```python
ROUTER_IP = '127.0.0.1'
ROUTER_PORT = 8000
SENDERS = [
{'ip': '127.0.0.1', 'port': 8001, 'flow_id': 1, 'weight': 1, 'packet_size': 1024},
{'ip': '127.0.0.1', 'port': 8002, 'flow_id': 2, 'weight': 1, 'packet_size': 512},
{'ip': '127.0.0.1', 'port': 8003, 'flow_id': 3, 'weight': 2, 'packet_size': 1024},
]
MAX_QUEUE_LEN = 1000
TIME_INTERVAL = 0.1
```
接下来,我们可以定义路由器和发送者的代码。路由器需要维护一个队列,按照权重和时间戳对数据包进行排序,然后依次发送。发送者需要在指定的时间间隔内发送数据包,并将其添加到队列中。
```python
import socket
import time
import struct
import heapq
class Router:
def __init__(self):
self.queue = []
def run(self):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind((ROUTER_IP, ROUTER_PORT))
sock.setblocking(False)
while True:
try:
data, addr = sock.recvfrom(1024)
packet = Packet(*struct.unpack('!4s4sii', data))
heapq.heappush(self.queue, (time.time(), packet))
except socket.error:
pass
while self.queue:
now = time.time()
weight_sum = sum([sender['weight'] for sender in SENDERS])
min_weight = min([sender['weight'] for sender in SENDERS])
packets = []
while self.queue:
if len(packets) >= MAX_QUEUE_LEN:
break
timestamp, packet = heapq.heappop(self.queue)
sender = next((sender for sender in SENDERS if sender['flow_id'] == packet.flow_id), None)
if sender is None:
continue
weight = sender['weight']
if weight == 0:
continue
delay = (now - timestamp) * weight_sum / weight
if delay < TIME_INTERVAL:
heapq.heappush(self.queue, (timestamp, packet))
break
packets.append(packet)
if packets:
for sender in SENDERS:
packets_for_sender = [packet for packet in packets if packet.flow_id == sender['flow_id']]
total_size = sum([packet.size for packet in packets_for_sender])
if total_size == 0:
continue
delay = (now - self.last_sent_time[sender['flow_id']]) * weight_sum / sender['weight']
if delay < TIME_INTERVAL:
continue
self.last_sent_time[sender['flow_id']] = now
data = struct.pack('!4s4sii', sender['ip'], ROUTER_IP, sender['flow_id'], total_size)
sock.sendto(data, (sender['ip'], sender['port']))
time.sleep(TIME_INTERVAL)
class Sender:
def __init__(self, ip, port, flow_id, weight, packet_size):
self.ip = ip
self.port = port
self.flow_id = flow_id
self.weight = weight
self.packet_size = packet_size
def run(self):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
while True:
packet = Packet(self.ip, ROUTER_IP, self.flow_id, self.packet_size)
data = struct.pack('!4s4sii', packet.src_ip, packet.dst_ip, packet.flow_id, packet.size)
sock.sendto(data, (ROUTER_IP, ROUTER_PORT))
time.sleep(TIME_INTERVAL)
if __name__ == '__main__':
router = Router()
for sender_info in SENDERS:
sender = Sender(sender_info['ip'], sender_info['port'], sender_info['flow_id'], sender_info['weight'], sender_info['packet_size'])
sender.run()
```
最后,我们可以启动路由器和发送者,并在接收方记录时间、流ID和数据包大小,以便绘制图表。
```python
import matplotlib.pyplot as plt
if __name__ == '__main__':
router = Router()
for sender_info in SENDERS:
sender = Sender(sender_info['ip'], sender_info['port'], sender_info['flow_id'], sender_info['weight'], sender_info['packet_size'])
sender.run()
received_bytes = {sender['flow_id']: 0 for sender in SENDERS}
received_times = {sender['flow_id']: [] for sender in SENDERS}
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind((ROUTER_IP, ROUTER_PORT))
while True:
data, addr = sock.recvfrom(1024)
flow_id, size = struct.unpack('!ii', data[8:])
received_bytes[flow_id] += size
received_times[flow_id].append(time.time())
plt.clf()
for sender in SENDERS:
flow_id = sender['flow_id']
plt.plot(received_times[flow_id], received_bytes[flow_id], label=f'Flow {flow_id}')
plt.legend(loc='upper left')
plt.xlabel('Time (s)')
plt.ylabel('Bytes')
plt.draw()
plt.pause(0.0001)
```
这是一个简单的WFQ算法的Python实现,您可以根据需要进行修改和完善。但是需要注意,此代码仅供学习参考,实际应用时可能需要更加完善和优化。
阅读全文