def output_latency_stats(output_dir):
"""Output all statistics"""
# older code: output read, write, overall stats
output_stats(latencies, os.path.join(output_dir, 'all'))
output_stats(read_latencies, os.path.join(output_dir, 'read'))
output_stats(write_latencies, os.path.join(output_dir, 'write'))
# output all tuples in a file, used in group-by-name, group-by-time script.
write_tuple_array(all_tuples, os.path.join(output_dir,'all_tuples.txt'), p = True)
# output ping latencies
write_tuple_array(get_cdf(ping_latencies), os.path.join(output_dir,'ping_latency.txt'), p = True)
# output closest NS latencies
write_tuple_array(get_cdf(closest_ns_latencies), os.path.join(output_dir,'closest_ns_latency.txt'), p = True)
# output mean and median query latencies ove time during the experiment.
#output_by_time(output_dir, 'latency_by_time.txt')
# output start and end times
#get_start_end_times(all_tuples, os.path.join(output_dir,'start_end_times.txt'))
# output key stats : mean-latency, median-write-latency-etc.
latency_tuples = get_latency_stats_tuples(latencies, read_latencies, write_latencies, ping_latencies)
write_tuple_array(latency_tuples, os.path.join(output_dir,'latency_stats.txt'), p = True)
os.system('cat ' + os.path.join(output_dir,'latency_stats.txt'))
# experiment summary stats:
write_tuple_array(get_summary_stats(), output_dir + '/summary.txt', p = True)
os.system('cat ' + output_dir + '/summary.txt')
# results for this folder.
plot(output_dir)
def output_latency_stats(output_dir):
"""Output all statistics"""
# output all tuples in a file, used in group-by-name, group-by-time script.
write_tuple_array(all_tuples, os.path.join(output_dir,'all_tuples.txt'), p = True)
# older code: output read, write, overall stats
output_stats(latencies, os.path.join(output_dir, 'all'))
output_stats(read_latencies, os.path.join(output_dir, 'read'))
output_stats(write_latencies, os.path.join(output_dir, 'write'))
# output ping latencies
write_tuple_array(get_cdf(ping_latencies), os.path.join(output_dir,'ping_latency.txt'), p = True)
# output closest NS latencies
write_tuple_array(get_cdf(closest_ns_latencies), os.path.join(output_dir,'closest_ns_latency.txt'), p = True)
# output mean and median query latencies ove time during the experiment.
#output_by_time(output_dir, 'latency_by_time.txt')
# output start and end times
get_start_end_times(all_tuples, os.path.join(output_dir,'start_end_times.txt'))
# output key stats : mean-latency, median-write-latency-etc.
latency_tuples = get_latency_stats_tuples(latencies, read_latencies, write_latencies, ping_latencies)
write_tuple_array(latency_tuples, os.path.join(output_dir,'latency_stats.txt'), p = True)
os.system('cat ' + os.path.join(output_dir,'latency_stats.txt'))
# experiment summary stats:
write_tuple_array(get_summary_stats(), output_dir + '/summary.txt', p = True)
os.system('cat ' + output_dir + '/summary.txt')
# results for this folder.
plot(output_dir)
def output_latency_stats(output_dir):
"""Output all statistics"""
# older code: output read, write, overall stats
output_stats(latencies, os.path.join(output_dir, 'all'))
output_stats(read_latencies, os.path.join(output_dir, 'read'))
output_stats(write_latencies, os.path.join(output_dir, 'write'))
output_stats(add_latencies, os.path.join(output_dir, 'add'))
output_stats(remove_latencies, os.path.join(output_dir, 'remove'))
output_stats(group_change_latencies, os.path.join(output_dir, 'group_change'))
# output all tuples in a file, used in group-by-name, group-by-time script.
write_tuple_array(all_tuples, os.path.join(output_dir, 'all_tuples.txt'), p=True)
# output ping latencies
write_tuple_array(get_cdf(ping_latencies), os.path.join(output_dir, 'ping_latency.txt'), p=True)
# output closest NS latencies
write_tuple_array(get_cdf(closest_ns_latencies), os.path.join(output_dir, 'closest_ns_latency.txt'), p=True)
# output mean and median query latencies ove time during the experiment.
from output_by_time import output_by_time
output_by_time(output_dir, 'latency_by_time.txt')
# output start and end times
#get_start_end_times(all_tuples, os.path.join(output_dir,'start_end_times.txt'))
# output key stats : mean-latency, median-write-latency-etc.
latency_tuples = get_latency_stats_tuples()
# latencies, read_latencies, write_latencies, add_latencies,
# remove_latencies, ping_latencies
write_tuple_array(latency_tuples, os.path.join(output_dir, 'latency_stats.txt'), p=True)
os.system('cat ' + os.path.join(output_dir, 'latency_stats.txt'))
# experiment summary stats:
write_tuple_array(get_summary_stats(), output_dir + '/summary.txt', p=True)
os.system('cat ' + output_dir + '/summary.txt')
# plot results for this experiment.
plot(output_dir)
if len(time_to_connect_values) > 0:
time_to_connect_stats = get_stat_in_tuples(time_to_connect_values, 'time_to_connect')
timeout_value = 5000
timeout_count = 0
for t in time_to_connect_values:
if t > timeout_value:
timeout_count += 1
fraction_timeout = timeout_count*1.0/len(time_to_connect_values)
time_to_connect_stats.append(['fraction-timeouts', fraction_timeout])
write_tuple_array(time_to_connect_stats, os.path.join(output_dir, 'time_to_connect.txt'), p=True)
os.system('cat ' + os.path.join(output_dir, 'time_to_connect.txt'))
def plot_groupchange_latency(folder):
search_terms = ['GroupChangeDuration','OldActiveStopDuration']
latency_index = 4
stats_folder = get_stats_folder(folder)
os.system('mkdir -p ' + stats_folder)
for term in search_terms:
file_output = os.path.join(stats_folder,term)
os.system('grep ' + term + ' ' + folder + '/*/*/* > ' + file_output)
from read_array_from_file import read_col_from_file2
values = read_col_from_file2(file_output, 4)
temp = [float(v) for v in values]
values = temp
from stats import get_cdf
cdf_values = get_cdf(values)
cdf_file = file_output + '_cdf'
from write_array_to_file import write_tuple_array
write_tuple_array(cdf_values, cdf_file, p = True)
os.system('cp ' + cdf_file + ' .')
try:
os.system('gnuplot ' + gnuplot_file)
os.system('mv groupchange_cdf.pdf ' + stats_folder)
except:
print 'ERROR: gnuplot error'
os.system('rm GroupChangeDuration_cdf OldActiveStopDuration_cdf')
def plot_groupchange_latency(folder):
search_terms = ['GroupChangeDuration', 'OldActiveStopDuration']
latency_index = 4
stats_folder = get_stats_folder(folder)
os.system('mkdir -p ' + stats_folder)
for term in search_terms:
file_output = os.path.join(stats_folder, term)
os.system('grep ' + term + ' ' + folder + '/*/*/* > ' + file_output)
from read_array_from_file import read_col_from_file2
values = read_col_from_file2(file_output, 4)
temp = [float(v) for v in values]
values = temp
from stats import get_cdf
cdf_values = get_cdf(values)
cdf_file = file_output + '_cdf'
from write_array_to_file import write_tuple_array
write_tuple_array(cdf_values, cdf_file, p=True)
os.system('cp ' + cdf_file + ' .')
try:
os.system('gnuplot ' + gnuplot_file)
os.system('mv groupchange_cdf.pdf ' + stats_folder)
except:
print 'ERROR: gnuplot error'
os.system('rm GroupChangeDuration_cdf OldActiveStopDuration_cdf')
def generate_data_for_log_folder(log_folder, ping_file):
urp_output_file = log_folder + '/URP'
referenceTS_output_file = log_folder + '/ReferenceTS'
os.system('grep URP ' + log_folder + '/*/log/* > ' + urp_output_file)
os.system('grep ReferenceTS ' + log_folder + '/*/log/* > ' + referenceTS_output_file)
os.system('wc -l ' + referenceTS_output_file)
os.system('wc -l ' + urp_output_file)
node_offset = calculate_timestamps(referenceTS_output_file, ping_file)
client, majority, last = compute_latencies(urp_output_file, node_offset)
from stats import get_cdf
client_cdf = get_cdf(client)
majority_cdf = get_cdf(majority)
last_cdf = get_cdf(last)
indir, outdir = get_indir_outdir(log_folder)
from write_array_to_file import write_tuple_array
write_tuple_array(client_cdf, os.path.join(outdir, 'client_write_cdf.txt'))
write_tuple_array(majority_cdf, os.path.join(outdir, 'majority_write_cdf.txt'))
write_tuple_array(last_cdf, os.path.join(outdir, 'last_write_cdf.txt'))
def generate_data_for_log_folder(log_folder, ping_file):
urp_output_file = log_folder + '/URP'
referenceTS_output_file = log_folder + '/ReferenceTS'
os.system('grep URP ' + log_folder + '/*/log/* > ' + urp_output_file)
os.system('grep ReferenceTS ' + log_folder + '/*/log/* > ' +
referenceTS_output_file)
os.system('wc -l ' + referenceTS_output_file)
os.system('wc -l ' + urp_output_file)
node_offset = calculate_timestamps(referenceTS_output_file, ping_file)
client, majority, last = compute_latencies(urp_output_file, node_offset)
from stats import get_cdf
client_cdf = get_cdf(client)
majority_cdf = get_cdf(majority)
last_cdf = get_cdf(last)
indir, outdir = get_indir_outdir(log_folder)
from write_array_to_file import write_tuple_array
write_tuple_array(client_cdf, os.path.join(outdir, 'client_write_cdf.txt'))
write_tuple_array(majority_cdf,
os.path.join(outdir, 'majority_write_cdf.txt'))
write_tuple_array(last_cdf, os.path.join(outdir, 'last_write_cdf.txt'))
def main():
files = os.listdir(sys.argv[1])
latencies = []
for filename in files:
array_values = read_array_from_file(os.path.join(
sys.argv[1], filename))
values = [float(t[3]) for t in array_values]
from stats import get_stats_with_names
stats = get_stats_with_names(values)
print filename, stats['median'], '\t', stats['minimum']
latencies.append(stats['median'])
from stats import get_cdf
cdf2 = get_cdf(latencies)
from write_array_to_file import write_tuple_array
write_tuple_array(cdf2, 'ultradns')
def main():
files = os.listdir(sys.argv[1])
latencies = []
for filename in files:
array_values = read_array_from_file(os.path.join(sys.argv[1], filename))
values = [float(t[3]) for t in array_values]
from stats import get_stats_with_names
stats = get_stats_with_names(values)
print filename, stats["median"], "\t", stats["minimum"]
latencies.append(stats["median"])
from stats import get_cdf
cdf2 = get_cdf(latencies)
from write_array_to_file import write_tuple_array
write_tuple_array(cdf2, "ultradns")
def update_bw_by_name(write_rate_file, active_counts_file, output_file):
f = open(write_rate_file)
write_rates = {}
for line in f:
tokens = line.strip().split()
write_rates[tokens[0]] = float(tokens[1])
updatecosts = []
f = open(active_counts_file)
for line in f:
tokens = line.split()
if tokens[0] in write_rates:
name = int(tokens[0])
replicas = int(tokens[1])
# exlcude mobiles with zero write rates
updatecosts.append(replicas * write_rates[tokens[0]])
from stats import get_cdf
cdf = get_cdf(updatecosts)
from write_array_to_file import write_tuple_array
write_tuple_array(cdf, output_file, p = True)
def update_bw_by_name(write_rate_file, active_counts_file, output_file):
f = open(write_rate_file)
write_rates = {}
for line in f:
tokens = line.strip().split()
write_rates[tokens[0]] = float(tokens[1])
updatecosts = []
f = open(active_counts_file)
for line in f:
tokens = line.split()
if tokens[0] in write_rates:
name = int(tokens[0])
replicas = int(tokens[1])
# exlcude mobiles with zero write rates
updatecosts.append(replicas * write_rates[tokens[0]])
from stats import get_cdf
cdf = get_cdf(updatecosts)
from write_array_to_file import write_tuple_array
write_tuple_array(cdf, output_file, p=True)
def write_cdf(filename, col_no, output_filename):
values = extract_column_from_file(filename, col_no)
#print values
cdf_values = get_cdf(values)
#print cdf_values
write_tuple_array(cdf_values, output_filename, p=True)
def write_cdf(filename, col_no, output_filename):
values = extract_column_from_file(filename, col_no)
#print values
cdf_values = get_cdf(values)
#print cdf_values
write_tuple_array(cdf_values, output_filename, p = True)
