def cloudlab_config(cca,
end_time,
queue_size=1024,
btlbw=10,
rtt=40,
kind='iperf'):
config = {}
config['server'] = dict(HOST_SERVER._asdict())
config['client'] = dict(HOST_CLIENT._asdict())
config['experiments'] = {}
num_flows = [1]
# cca alone experiments
for num_cca_flows in num_flows:
experiment_name = '{}{}-{}bw-{}rtt-{}q'.format(cca, num_cca_flows,
btlbw, rtt, queue_size)
experiment = {'btlbw': btlbw, 'queue_size': queue_size}
experiment['flows'] = [{
'ccalg': cca,
'start_time': 0,
'end_time': end_time,
'rtt': rtt,
'kind': kind
} for _ in range(num_cca_flows)]
config['experiments'][experiment_name] = experiment
return config
def cubic_bbr_bdp_config(server, client, end_time):
config = {}
config['server'] = HOST_SERVER._as_dict()
config['client'] = client
config['experiments'] = {}
#experiment_params = [{'btlbw':400, 'rtt':30, 'bdp':1024},
# {'btlbw':10, 'rtt':3, 'bdp':4}]
experiment_params = [{
'btlbw': 100,
'rtt': 1,
'bdp': 8
}, {
'btlbw': 15,
'rtt': 100,
'bdp': 128
}, {
'btlbw': 120,
'rtt': 100,
'bdp': 1024
}]
#{'btlbw':400, 'rtt':30, 'bdp':1024},
#{'btlbw':10, 'rtt':3, 'bdp':4}]
for params in experiment_params:
btlbw = params['btlbw']
rtt = params['rtt']
bdp = params['bdp']
queue_sizes_as_bdp = [0.25, 0.5, 1.0, 4.0, 16.0]
queue_sizes = list(map(lambda x: x * bdp, queue_sizes_as_bdp))
for size in queue_sizes:
if size >= 4:
experiment_name = 'cubic-bbr-{}bw-{}rtt-{}q'.format(
btlbw, rtt, int(size))
experiment = {'btlbw': btlbw, 'queue_size': int(size)}
cubic_flows = [{
'ccalg': 'cubic',
'start_time': 0,
'end_time': end_time,
'rtt': rtt
}]
bbr_flows = [{
'ccalg': 'bbr',
'start_time': 0,
'end_time': end_time,
'rtt': rtt
}]
experiment['flows'] = cubic_flows + bbr_flows
config['experiments'][experiment_name] = experiment
return config
def ccalg_predict_config(btlbw,
rtts,
end_time,
queue_sizes,
exp_name_suffix=None,
ccalgs=None,
loss=None):
config = {}
config['server'] = HOST_SERVER._asdict()
config['client'] = HOST_CLIENT._asdict()
config['experiments'] = {}
if ccalgs is None:
ccalgs = ['bbr', 'cubic', 'reno']
if loss is None:
loss = [None]
for rtt in rtts:
for queue_size in queue_sizes:
for ccalg in ccalgs:
for loss_rate in loss:
if exp_name_suffix is None:
experiment_name = '{}-{}bw-{}rtt-{}q'.format(
ccalg, btlbw, rtt, int(queue_size))
else:
experiment_name = '{}-{}bw-{}rtt-{}q-{}'.format(
ccalg, btlbw, rtt, int(queue_size),
exp_name_suffix)
if loss_rate is not None:
experiment_name = '{}-{}bw-{}rtt-{}q-{}loss-{}'.format(
ccalg, btlbw, rtt, int(queue_size),
float(loss_rate), exp_name_suffix)
experiment = {
'btlbw': btlbw,
'queue_size': int(queue_size),
'loss_rate': float(loss_rate)
}
else:
experiment = {
'btlbw': btlbw,
'queue_size': int(queue_size)
}
flows = [{
'ccalg': ccalg,
'start_time': 0,
'end_time': end_time,
'rtt': int(rtt)
}]
experiment['flows'] = flows
config['experiments'][experiment_name] = experiment
return config