def plotTrafgenThroughputComparisonDirs(dir2props_dict):
units = 'Gb/s' if FOR_PAPER else 'Mb/s'
div = 1000.0 if FOR_PAPER else 1
fn_get_datapoint = lambda directory: getServerAvgTxRate(directory) / div
yLabel = 'UDP throughput (%s)' % units
title = '' if FOR_PAPER else 'Average UDP throughput'
# Turn each directory's set of prop=val strings into a dictionary to
# easily look up the value of a particular property for the directory
dir2prop2val_dict = getDir2Prop2ValDict(dir2props_dict)
# Make sure that all the experiments had the same number of client/server
# machines and number of tenants.
mctenants_vals = set()
trafgentenants_vals = set()
for directory in dir2props_dict.iterkeys():
mctenants_vals.add(dir2prop2val_dict[directory]['mctenants'])
trafgentenants_vals.add(dir2prop2val_dict[directory]['trafgentenants'])
assert (len(mctenants_vals) == 1)
assert (len(trafgentenants_vals) == 1)
mctenants = int(mctenants_vals.pop())
# Make sure that all the experiments had the same number of client and
# server machines
numclients_vals = set()
numservers_vals = set()
for directory in dir2props_dict.iterkeys():
servers, clients = getServersAndClients(directory)
numclients_vals.add(len(clients))
numservers_vals.add(len(servers))
assert (len(numclients_vals) == 1)
assert (len(numservers_vals) == 1)
numclients = numclients_vals.pop()
# Function to convert mcrate value to total server load
# fn_get_xgroup_value = functools.partial(serverLoadFromMcrate,
# mctenants = mctenants,
# numclients = numclients)
# Load per tenant per client
fn_get_xgroup_value = (
lambda mcrate_val_set: int(getUniqueProp(mcrate_val_set)))
return plotLineComparisonDirs(
dir2props_dict,
xgroup_props=['mcrate'],
line_props=['rl'],
fn_sort_lines=lambda lines: sortLineValSets(lines),
fn_get_line_label=(
lambda line_val_set: RL_LABEL[getUniqueProp(line_val_set)]),
fn_get_xgroup_value=fn_get_xgroup_value,
fn_get_datapoint=fn_get_datapoint,
xLabel='Load per tenant per client (reqs/sec)',
yLabel=yLabel,
title=title,
xLimits=LOAD_LIMITS,
yLimits=THROUGHPUT_LIMITS,
for_paper=FOR_PAPER)
def plotMcperfLatencyComparisonDirsWrapper(dir2props_dict, stat='avg'):
units = 'msec' if FOR_PAPER else 'usec'
div = 1000.0 if FOR_PAPER else 1
# Available stat functions: 'avg', 'pc99', 'pc999'
if stat == 'avg':
fn_get_datapoint = lambda directory: getAvgLatency(directory) / div
yLabel = 'Average latency (%s)' % units
title = 'Memcached response latency (average)'
elif stat == 'pc99':
fn_get_datapoint = lambda directory: getpc99Latency(directory) / div
yLabel = '99th perc. latency (%s)' % units
title = 'Memcached response latency (99th percentile)'
elif stat == 'pc999':
fn_get_datapoint = lambda directory: getpc999Latency(directory) / div
yLabel = '99.9th perc. latency (%s)' % units
title = 'Memcached response latency (99.9th percentile)'
if FOR_PAPER:
title = ''
# Turn each directory's set of prop=val strings into a dictionary to
# easily look up the value of a particular property for the directory
dir2prop2val_dict = getDir2Prop2ValDict(dir2props_dict)
# Make sure that all the experiments had the same number of client/server
# machines and number of tenants.
mctenants_vals = set()
trafgentenants_vals = set()
for directory in dir2props_dict.iterkeys():
mctenants_vals.add(dir2prop2val_dict[directory]['mctenants'])
trafgentenants_vals.add(dir2prop2val_dict[directory]['trafgentenants'])
assert(len(mctenants_vals) == 1)
assert(len(trafgentenants_vals) == 1)
mctenants = int(mctenants_vals.pop())
# Make sure that all the experiments had the same number of client and
# server machines
numclients_vals = set()
numservers_vals = set()
for directory in dir2props_dict.iterkeys():
servers, clients = getServersAndClients(directory)
numclients_vals.add(len(clients))
numservers_vals.add(len(servers))
assert(len(numclients_vals) == 1)
assert(len(numservers_vals) == 1)
numclients = numclients_vals.pop()
# Function to convert mcrate value to total server load
# fn_get_xgroup_value = functools.partial(serverLoadFromMcrate,
# mctenants = mctenants,
# numclients = numclients)
# Load per tenant per client
fn_get_xgroup_value = (lambda mcrate_val_set:
int(getUniqueProp(mcrate_val_set)))
return plotLineComparisonDirs(
dir2props_dict,
xgroup_props = ['mcrate'],
line_props = ['rl'],
fn_sort_lines = lambda lines: sortLineValSets(lines),
fn_get_line_label = (lambda line_val_set:
RL_LABEL[getUniqueProp(line_val_set)]),
fn_get_xgroup_value = fn_get_xgroup_value,
fn_get_datapoint = fn_get_datapoint,
xLabel = 'Load per tenant per client (reqs/sec)',
yLabel = yLabel,
title = title,
xLimits = LOAD_LIMITS,
yLimits = LATENCY_LIMITS,
for_paper = FOR_PAPER)
def plotTrafgenThroughputComparisonDirs(dir2props_dict):
units = 'Gb/s' if FOR_PAPER else 'Mb/s'
div = 1000.0 if FOR_PAPER else 1
fn_get_datapoint = lambda directory: getServerAvgTxRate(directory) / div
yLabel = 'UDP throughput (%s)' % units
title = '' if FOR_PAPER else 'Average UDP throughput'
# Turn each directory's set of prop=val strings into a dictionary to
# easily look up the value of a particular property for the directory
dir2prop2val_dict = getDir2Prop2ValDict(dir2props_dict)
# Make sure that all the experiments had the same number of client/server
# machines and number of tenants.
mctenants_vals = set()
trafgentenants_vals = set()
for directory in dir2props_dict.iterkeys():
mctenants_vals.add(dir2prop2val_dict[directory]['mctenants'])
trafgentenants_vals.add(dir2prop2val_dict[directory]['trafgentenants'])
assert(len(mctenants_vals) == 1)
assert(len(trafgentenants_vals) == 1)
mctenants = int(mctenants_vals.pop())
# Make sure that all the experiments had the same number of client and
# server machines
numclients_vals = set()
numservers_vals = set()
for directory in dir2props_dict.iterkeys():
servers, clients = getServersAndClients(directory)
numclients_vals.add(len(clients))
numservers_vals.add(len(servers))
assert(len(numclients_vals) == 1)
assert(len(numservers_vals) == 1)
numclients = numclients_vals.pop()
# Function to convert mcrate value to total server load
# fn_get_xgroup_value = functools.partial(serverLoadFromMcrate,
# mctenants = mctenants,
# numclients = numclients)
# Load per tenant per client
fn_get_xgroup_value = (lambda mcrate_val_set:
int(getUniqueProp(mcrate_val_set)))
return plotLineComparisonDirs(
dir2props_dict,
xgroup_props = ['mcrate'],
line_props = ['rl'],
fn_sort_lines = lambda lines: sortLineValSets(lines),
fn_get_line_label = (lambda line_val_set:
RL_LABEL[getUniqueProp(line_val_set)]),
fn_get_xgroup_value = fn_get_xgroup_value,
fn_get_datapoint = fn_get_datapoint,
xLabel = 'Load per tenant per client (reqs/sec)',
yLabel = yLabel,
title = title,
xLimits = LOAD_LIMITS,
yLimits = THROUGHPUT_LIMITS,
for_paper = FOR_PAPER)
