def get_parameters(kwarg):
kwarg['quantum'] = get_size(kwarg.get('quantum', 0))
kwarg['perturb_period'] = kwarg.get('perturb', 0) or \
kwarg.get('perturb_period', 0)
limit = kwarg['limit'] = kwarg.get('limit', 0) or \
kwarg.get('redflowlimit', 0)
qth_min = kwarg.get('min', 0)
qth_max = kwarg.get('max', 0)
avpkt = kwarg.get('avpkt', 1000)
probability = kwarg.get('probability', 0.02)
ecn = kwarg.get('ecn', False)
harddrop = kwarg.get('harddrop', False)
kwarg['flags'] = kwarg.get('flags', 0)
if ecn:
kwarg['flags'] |= TC_RED_ECN
if harddrop:
kwarg['flags'] |= TC_RED_HARDDROP
if kwarg.get('redflowlimit'):
qth_max = qth_max or limit / 4
qth_min = qth_min or qth_max / 3
kwarg['burst'] = kwarg['burst'] or \
(2 * qth_min + qth_max) / (3 * avpkt)
assert limit > qth_max
assert qth_max > qth_min
kwarg['qth_min'] = qth_min
kwarg['qth_max'] = qth_max
kwarg['Wlog'] = red_eval_ewma(qth_min, kwarg['burst'], avpkt)
kwarg['Plog'] = red_eval_P(qth_min, qth_max, probability)
assert kwarg['Wlog'] >= 0
assert kwarg['Plog'] >= 0
kwarg['max_P'] = int(probability * pow(2, 23))
return kwarg
def get_parameters(kwarg):
kwarg['quantum'] = get_size(kwarg.get('quantum', 0))
kwarg['perturb_period'] = kwarg.get('perturb', 0) or \
kwarg.get('perturb_period', 0)
limit = kwarg['limit'] = kwarg.get('limit', 0) or \
kwarg.get('redflowlimit', 0)
qth_min = kwarg.get('min', 0)
qth_max = kwarg.get('max', 0)
avpkt = kwarg.get('avpkt', 1000)
probability = kwarg.get('probability', 0.02)
ecn = kwarg.get('ecn', False)
harddrop = kwarg.get('harddrop', False)
kwarg['flags'] = kwarg.get('flags', 0)
if ecn:
kwarg['flags'] |= TC_RED_ECN
if harddrop:
kwarg['flags'] |= TC_RED_HARDDROP
if kwarg.get('redflowlimit'):
qth_max = qth_max or limit / 4
qth_min = qth_min or qth_max / 3
kwarg['burst'] = kwarg['burst'] or \
(2 * qth_min + qth_max) / (3 * avpkt)
assert limit > qth_max
assert qth_max > qth_min
kwarg['qth_min'] = qth_min
kwarg['qth_max'] = qth_max
kwarg['Wlog'] = red_eval_ewma(qth_min, kwarg['burst'], avpkt)
kwarg['Plog'] = red_eval_P(qth_min, qth_max, probability)
assert kwarg['Wlog'] >= 0
assert kwarg['Plog'] >= 0
kwarg['max_P'] = int(probability * pow(2, 23))
return kwarg
def get_parameters(kwarg):
# The code is ported from iproute2
avpkt = 1000
probability = 0.02
opt = {
'limit': kwarg['limit'], # required
'qth_min': kwarg.get('min', 0),
'qth_max': kwarg.get('max', 0),
'Wlog': 0,
'Plog': 0,
'Scell_log': 0,
'flags': 1 if kwarg.get('ecn') else 0
}
rate = get_rate(kwarg['bandwith']) # required
burst = kwarg.get('burst', 0)
avpkt = get_size(kwarg.get('avpkt', 1000))
probability = kwarg.get('probability', 0.02)
if not opt['qth_max']:
opt['qth_max'] = opt['limit'] // 4
if not opt['qth_min']:
opt['qth_min'] = opt['qth_max'] // 3
if not burst:
burst = (2 * opt['qth_min'] + opt['qth_max']) // 3
if opt['qth_max'] > opt['limit']:
raise Exception('max is larger than limit')
if opt['qth_min'] >= opt['qth_max']:
raise Exception('min is not smaller than max')
# Wlog
opt['Wlog'] = red_eval_ewma(opt['qth_min'] * avpkt, burst, avpkt)
if opt['Wlog'] < 0:
raise Exception('failed to calculate EWMA')
elif opt['Wlog'] > 10:
log.warning('choke: burst %s seems to be too large' % burst)
# Plog
opt['Plog'] = red_eval_P(opt['qth_min'] * avpkt, opt['qth_max'] * avpkt,
probability)
if opt['Plog'] < 0:
raise Exception('choke: failed to calculate probability')
# Scell_log, stab
opt['Scell_log'], stab = red_eval_idle_damping(opt['Wlog'], avpkt, rate)
if opt['Scell_log'] < 0:
raise Exception('choke: failed to calculate idle damping table')
return {
'attrs': [['TCA_CHOKE_PARMS', opt], ['TCA_CHOKE_STAB', stab],
['TCA_CHOKE_MAX_P',
int(probability * pow(2, 32))]]
}
def get_parameters(kwarg):
# The code is ported from iproute2
avpkt = 1000
probability = 0.02
opt = {'limit': kwarg['limit'], # required
'qth_min': kwarg.get('min', 0),
'qth_max': kwarg.get('max', 0),
'Wlog': 0,
'Plog': 0,
'Scell_log': 0,
'flags': 1 if kwarg.get('ecn') else 0}
rate = get_rate(kwarg['bandwith']) # required
burst = kwarg.get('burst', 0)
avpkt = get_size(kwarg.get('avpkt', 1000))
probability = kwarg.get('probability', 0.02)
if not opt['qth_max']:
opt['qth_max'] = opt['limit'] // 4
if not opt['qth_min']:
opt['qth_min'] = opt['qth_max'] // 3
if not burst:
burst = (2 * opt['qth_min'] + opt['qth_max']) // 3
if opt['qth_max'] > opt['limit']:
raise Exception('max is larger than limit')
if opt['qth_min'] >= opt['qth_max']:
raise Exception('min is not smaller than max')
# Wlog
opt['Wlog'] = red_eval_ewma(opt['qth_min']*avpkt,
burst,
avpkt)
if opt['Wlog'] < 0:
raise Exception('failed to calculate EWMA')
elif opt['Wlog'] > 10:
log.warning('choke: burst %s seems to be too large' % burst)
# Plog
opt['Plog'] = red_eval_P(opt['qth_min']*avpkt,
opt['qth_max']*avpkt,
probability)
if opt['Plog'] < 0:
raise Exception('choke: failed to calculate probability')
# Scell_log, stab
opt['Scell_log'], stab = red_eval_idle_damping(opt['Wlog'], avpkt, rate)
if opt['Scell_log'] < 0:
raise Exception('choke: failed to calculate idle damping table')
return {'attrs': [['TCA_CHOKE_PARMS', opt],
['TCA_CHOKE_STAB', stab],
['TCA_CHOKE_MAX_P', int(probability * pow(2, 32))]]}
