def filter(W=5):
spineL, leafL, torL, serverL = gen_fattree()
pathL = gen_int_path(spineL, leafL, torL, serverL)
r = redis.StrictRedis(host='127.0.0.1', port=6379, db=1) # 存每个交换机上包的数量
r1 = redis.StrictRedis(host='127.0.0.1', port=6379, db=2) # 存历史数据
r2 = redis.StrictRedis(host='127.0.0.1', port=6379,
db=3) # 存INT-filter减少的上传量
t = []
true = []
pre = []
while True:
for path in pathL:
for s in path:
flag = int(r1.lindex(s, 0))
if flag >= Update_interval:
# use true value
q = float(r.get(s))
r1.linsert(s, 'after', flag, q)
r1.rpop(s)
r1.lset(s, 0, 0)
true.append(q)
pre.append(q)
r2.incr('true')
else:
temp_l = r1.lrange(s, 1, -1)
temp_l.reverse()
value_l = [float(q) for q in temp_l]
time_l = np.arange(0, W, 1)
start = time.time()
q = float(r.get(s))
pred, error, poly_order = predict(time_l, value_l, W, q)
# print(error)
if error < Threshold:
# use predict value
r1.linsert(s, 'after', flag, float(pred))
r1.rpop(s)
num = int(r1.lindex(s, 0))
r1.lset(s, 0, num + 1)
true.append(q)
pre.append(float(pred))
r2.incr('predict')
else:
# use true value
r1.linsert(s, 'after', flag, q)
r1.rpop(s)
r1.lset(s, 0, 0)
true.append(q)
pre.append(q)
r2.incr('true')
end = time.time()
t.append(end - start)
time.sleep(0.1)
if len(true) % 100 == 0:
print(
'INT-filter error:',
np.sum(np.abs(np.array(true)[-100:] - np.array(pre)[-100:])) /
100)
def filter(W=1):
spineL, leafL, torL, serverL = gen_fattree()
pathL = gen_int_path(spineL, leafL, torL, serverL)
r = redis.StrictRedis(host='127.0.0.1', port=6379, db=1) # 存每个交换机上包的数量
r3 = redis.StrictRedis(host='127.0.0.1', port=6379, db=4) # 存Sel-INT历史数据
r4 = redis.StrictRedis(host='127.0.0.1', port=6379, db=5) # 存Sel-INT减少的上传量
t = []
true = []
pre = []
while True:
for path in pathL:
for s in path:
flag = int(r3.lindex(s, 0))
if flag >= Update_interval:
# use true value
q = float(r.get(s))
r3.linsert(s, 'after', flag, q)
r3.rpop(s)
r3.lset(s, 0, 0)
true.append(q)
pre.append(q)
r4.incr('true')
else:
temp_l = r3.lrange(s, 1, -1)
data_p = float(temp_l[0])
data = float(r.get(s))
flag = abs(data_p - data) / min(data_p, data, -0.0000001)
start = time.time()
# print(error)
if flag > Threshold:
# use true value
r3.linsert(s, 'after', flag, data)
r3.rpop(s)
r3.lset(s, 0, 0)
true.append(data)
pre.append(data)
r4.incr('true')
else:
# use predict value
num = int(r3.lindex(s, 0))
r3.lset(s, 0, num + 1)
true.append(data)
pre.append(data_p)
r4.incr('predict')
end = time.time()
t.append(end - start)
time.sleep(0.1)
if len(true) % 100 == 0:
print('Sel-INT error:', np.sum(np.abs(np.array(true)[-100:] - np.array(pre)[-100:])) / 100)
# -*- coding: UTF-8 -*- import time import redis from clos import gen_fattree def forward_packet(r, spineL, leafL, torL, serverL, forward_interval=0.1): # 核心交换机拥有更高的处理速率。 while True: for spine in spineL: r.decr(spine) for leaf in leafL: r.decr(leaf) for tor in torL: r.decr(tor) time.sleep(forward_interval/3) if __name__ == '__main__': k = 2 W = 5 r = redis.StrictRedis(host='127.0.0.1', port=6379, db=1) # 存每个交换机上包的数量 spineL, leafL, torL, serverL = gen_fattree() forward_packet(r, spineL, leafL, torL, serverL)