def client():
util.ping_test()
client_list = []
pool = ThreadPool(150)
for i in range(700):
print 'Starting client', i
client = EchoClient('10.66.10.1', 12345, 64*1000)
pool.add_task(client.start)
client_list.append(client)
pool.wait_completion()
delay_list = []
for client in client_list:
if client.running_time is None:
delay_ms = 0
else:
delay_ms = client.running_time * 1000.0
delay_list.append(delay_ms)
cdf_list = util.make_cdf(delay_list)
with open('data/microflow_delay.txt', 'w') as f:
for (x, y) in zip(delay_list, cdf_list):
print >> f, x, y
def run(redis_host, delay_ms):
util.ping_test(dest_host=redis_host)
delay_queue = Queue()
proc_list = []
for client_id in range(CLIENT_COUNT):
print 'Starting client', client_id
p = Process(target=redis_client_process,
args=(client_id, redis_host, delay_queue))
p.daemon = True
p.start()
proc_list.append(p)
time.sleep(delay_ms / 1000.0)
counter = 0
for p in proc_list:
p.join()
counter += 1
print CLIENT_COUNT - counter, 'left.'
delay_list = []
while not delay_queue.empty():
(_, delay) = delay_queue.get()
if delay is None:
delay_ms = 0
else:
delay_ms = delay * 1000.0
delay_list.append(delay_ms)
cdf_list = util.make_cdf(delay_list)
with open('data/redis_delay.txt', 'w') as f:
for (x, y) in zip(delay_list, cdf_list):
print >> f, x, y
def run(pkt_size, gap_ms):
util.ping_test()
switch = Switch(config.active_config)
switch.reset_flow_table()
control_client = ExpControlClient('mumu.ucsd.edu')
control_client.execute('RESET')
control_client.execute('SET learning False')
pktgen = Pktgen(config.active_config)
pktgen.low_level_start(pkt_count=50000, flow_count=50000,
pkt_size=pkt_size, gap_ns=1000000*gap_ms)
try:
time.sleep(20)
except KeyboardInterrupt:
pktgen.stop_and_get_result()
sys.exit(1)
pktgen_result = pktgen.stop_and_get_result()
pkt_in_count = control_client.execute('GET pkt_in_count')
pktgen_rate = pktgen_result.sent_pkt_count / pktgen_result.running_time
pkt_in_rate = pkt_in_count / pktgen_result.running_time
control_client.execute('RESET')
return (pktgen_rate, pkt_in_rate)
def send_trigger_packet():
"""
Sends a reference packet to the controller, from which flow-mods or pkt-outs
can be constructed. Blocks until the packet is sent.
"""
util.ping_test(how_many_pings=4, dest_host=config.active_config.source_ip)
util.run_ssh('iperf -u -c ', config.active_config.dest_ip,
' -p ', TRIGGER_PORT, ' -t 1 -l 12',
hostname=config.active_config.source_ip).wait()
def run(flow_mod_gap_ms):
util.ping_test()
switch = Switch(config.active_config)
switch.reset_flow_table()
control_client = ExpControlClient('mumu.ucsd.edu')
control_client.execute('RESET')
control_client.execute('SET auto_install_rules False')
control_client.execute('SET manual_install_gap_ms %s' % flow_mod_gap_ms)
control_client.execute('SET manual_install_active True')
# Send a starter packet to trigger packet-in. Doesn't matter what port it
# goes to, as long as it has the IP address of what would have been the
# pktgen host.
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.sendto('Hi', (config.active_config.source_ip, 12345))
# Let the whole system run for a while. We cannot check for TCAM status;
# that'd sometimes take forever when the switch is busily processing flow-
# mods, and it'd probably affect the flow-mods. We check the TCAM
# afterwards.
util.verbose_sleep(60)
control_client.execute('SET manual_install_active False')
# Gather stats about flow-mod. The flow-mod gap may not be accurate.
flow_mod_count = control_client.execute('GET flow_mod_count')
flow_mod_start_time = control_client.execute('GET flow_mod_start_time')
flow_mod_end_time = control_client.execute('GET flow_mod_end_time')
flow_mod_rate = flow_mod_count / (flow_mod_end_time - flow_mod_start_time)
# Wait for the switch to stabilize before asking it for stats.
util.verbose_sleep(80)
print 'Dumping table...'
# Parse flow tables. Search up to the last point of a TCAM-write, which
# signifies a full TCAM. Up to that point, we count the total number of
# rules added.
rule_list = switch.dump_tables(filter_str='')
tcam_rule_count = 0
total_rule_count = 0
print 'Parsing', len(rule_list), 'rules...'
for rule in rule_list:
total_rule_count += 1
if 'table_id=0' in rule:
tcam_rule_count += 1
if tcam_rule_count == 1500:
break
control_client.execute('RESET')
switch.reset_flow_table()
util.verbose_sleep(5)
return (tcam_rule_count, total_rule_count, flow_mod_rate)
def start_processes(process_count, worker_thread_per_process,
client_count, gap_ms, data_length, redis_host):
switch = Switch(config.active_config)
data_length = int(data_length)
total_workers = process_count * worker_thread_per_process
redis_set(data_length)
worker_status_queue = Queue(maxsize=total_workers)
client_id_queue = Queue(maxsize=client_count)
result_queue = Queue(maxsize=client_count)
# Starts the worker processes that spawn individual worker threads.
for _ in range(process_count):
p = Process(target=RedisClientProcess,
args=(worker_thread_per_process, data_length, redis_host,
worker_status_queue, client_id_queue, result_queue))
p.daemon = True
p.start()
# Wait for all worker threads to start.
while True:
started_count = worker_status_queue.qsize()
if started_count < total_workers:
print total_workers - started_count, 'workers yet to start.'
time.sleep(1)
else:
break
# Send requests in a different thread.
util.ping_test(dest_host=redis_host, how_many_pings=2)
def requests():
for client_id in range(client_count):
client_id_queue.put(client_id)
time.sleep(gap_ms / 1000.0)
t = threading.Thread(target=requests)
t.daemon = True
t.start()
# Monitor the changes for the first minute.
base_time = time.time()
while True:
current_count = result_queue.qsize()
remaining_count = client_count - current_count
print 'Current:', current_count, 'Remaining:', remaining_count
if remaining_count > 0 and time.time() - base_time < 120:
try:
time.sleep(10)
except KeyboardInterrupt:
break
if redis_host == REDIS_HOST_OF:
rule_list = switch.dump_tables(filter_str='')
print 't =', time.time() - base_time,
print '; tcam_size =', len([rule for rule in rule_list if 'table_id=0' in rule]),
print '; table_1_size =', len([rule for rule in rule_list if 'table_id=1' in rule]),
print '; table_2_size =', len([rule for rule in rule_list if 'table_id=2' in rule]),
print '; total_size =', len([rule for rule in rule_list if 'cookie' in rule])
else:
break
# Extract the result into local lists. All time values are expressed in ms.
# We're only interested in results between 30-60 seconds.
print 'Analyzing the result...'
start_time_list = []
completion_time_list = []
while not result_queue.empty():
(_, start_time, end_time) = result_queue.get()
if start_time - base_time >= 60:
start_time_list.append(start_time * 1000.0)
if end_time is None:
completion_time = -100.0 # Not to be plotted.
else:
completion_time = (end_time - start_time) * 1000.0
completion_time_list.append(completion_time)
# Calculate the actual request gap.
start_time_list.sort()
gap_list = []
for index in range(0, len(start_time_list) - 1):
gap_list.append(start_time_list[index + 1] - start_time_list[index])
print 'Client gap: (mean, stdev) =', util.get_mean_and_stdev(gap_list)
# Calculate the CDF of completion times.
cdf_list = util.make_cdf(completion_time_list)
with open('data/realistic_redis_completion_times.txt', 'w') as f:
for (x, y) in zip(completion_time_list, cdf_list):
print >> f, x, y
def run(packet_per_second=100, pkt_size=1500, run_time=220):
"""
Returns (pktgen_pps, pkt_in_pps, flow_mod_pps, flow_mod_pps_stdev, pkt_out_pps), where
pps_in is the actual number of packets/sec of pktgen, and flow_mod_pps and
flow_mod_pps_stdev are the mean and stdev pps of successful flow
installations at steady state.
"""
util.ping_test()
switch = Switch(config.active_config)
switch.reset_flow_table()
# Initialize the experimental controller so that POX would have the
# necessary settings.
control_client = ExpControlClient('mumu.ucsd.edu')
control_client.execute(['RESET'])
control_client.execute(['SET', 'flow_stat_interval', 20])
control_client.execute(['SET', 'install_bogus_rules', True])
control_client.execute(['SET', 'emulate_hp_switch', True])
# Start capturing packets.
tcpdump = Tcpdump(config.active_config)
tcpdump.start()
tcpdump_start_time = time.time()
# Start firing packets.
pktgen = Pktgen(config.active_config)
gap = 1.0 / packet_per_second
pkt_count = int(run_time * packet_per_second)
pktgen.low_level_start(pkt_count=pkt_count, pkt_size=pkt_size,
gap_ns=gap*1000*1000*1000, flow_count=1)
pktgen_start_time = time.time()
flow_mod_pps_list = []
# How fast were rules successfully written into the hardware table? We take
# statistics at steady state. Also display flow statistics once in a while.
last_stat_time = [0]
def callback(t_left):
flow_stat_dict = control_client.execute(['GET', 'flow_count_dict'])
for stat_time in sorted(flow_stat_dict.keys()):
if stat_time > last_stat_time[0]:
last_stat_time[0] = stat_time
flow_count = flow_stat_dict[stat_time]
print t_left, 'seconds left, with flows', flow_count
if pktgen_start_time + 60 <= time.time() <= pktgen_start_time + 180:
flow_mod_pps_list.append(flow_count / 10.0)
# Check the stat every 20 seconds.
util.callback_sleep(run_time, callback, interval=20)
# How fast were packets actually generated?
pktgen_result = pktgen.stop_and_get_result()
pktgen_pps = pktgen_result.sent_pkt_count / pktgen_result.running_time
# How fast were pkt_out events?
tcpdump_end_time = time.time()
tcpdump_result = tcpdump.stop_and_get_result()
pkt_out_pps = (tcpdump_result.dropped_pkt_count + tcpdump_result.recvd_pkt_count) / \
(tcpdump_end_time - tcpdump_start_time)
# Calculate the mean and stdev of successful flow_mod pps.
(flow_mod_pps, flow_mod_pps_stdev) = util.get_mean_and_stdev(flow_mod_pps_list)
# How fast were pkt_in events arriving?
pkt_in_count = control_client.execute(['GET', 'pkt_in_count'])
pkt_in_start_time = control_client.execute(['GET', 'pkt_in_start_time'])
pkt_in_end_time = control_client.execute(['GET', 'pkt_in_end_time'])
pkt_in_pps = pkt_in_count / (pkt_in_end_time - pkt_in_start_time)
return (pktgen_pps, pkt_in_pps, flow_mod_pps, flow_mod_pps_stdev, pkt_out_pps)