logging.basicConfig(
level=logging.INFO,
format='%(levelname)8s: %(message)s -- in %(filename)s:%(lineno)d')
def str_to_safe_filename(s):
return "".join([c for c in s
if c.isalpha() or c.isdigit() or c == ' ']).rstrip()
label_x_inp = "INC demand, µ [%]"
if __name__ == '__main__':
# Load the experiment name and output directory from program args
params: EvalParams = get_evaluation_params(
tmp_directory_suffix="paper-locality", name="paper-locality")
types = ["taskgroups"]
mappers = {
"taskgroups": [
eval_after_24h_mapper,
remove_withdrawn_jobs_from_tenant_statistics,
eval_remove_unfinished_taskgroups(params),
summarize_5tuple_mapper(params, [
SummarizeColSpecs(column='DetourInc',
agg_columns=[],
filt=lambda x: x[x['DetourInc'] >= 0]),
SummarizeColSpecs(column='MaxDiameter',
agg_columns=["TaskGroupType"],
filt=lambda x: x[x['MaxDiameter'] >= 0]),
logging.basicConfig(
level=logging.INFO,
format='%(levelname)8s: %(message)s -- in %(filename)s:%(lineno)d')
def str_to_safe_filename(s):
return "".join([c for c in s
if c.isalpha() or c.isdigit() or c == ' ']).rstrip()
label_x_inp = "Jobs with INC, µ [%]"
if __name__ == '__main__':
# Load the experiment name and output directory from program args
params: EvalParams = get_evaluation_params(
tmp_directory_suffix="paper-latency-cdf", name="paper-latency-cdf")
if 'mu-inp' not in params.filter:
logging.warning("strictly enforce filter of mu-inp=1.0")
params.filter['mu-inp'] = ["1.0"]
# We are interested in the cell and scheduler dumps
types = ["taskgroups"]
mappers = {
"taskgroups": [
eval_after_24h_mapper,
remove_withdrawn_jobs_from_tenant_statistics,
eval_tasks_not_started_mapper(params),
summarize_cdf(params, 'PlacementLatency'),
],
from evals.base_evaluate import experiments_directory, get_evaluation_params, finish_evaluation, EvalParams, \
foreach_sweep_constellation
from helpers.data_table_mappers import eval_after_24h_mapper, get_eval_cut_off
from helpers.experiment_loader import load_multiple_experiments
from helpers.visualization_helpers import plot_violin, \
set_paper_aesthetics
logging.basicConfig(
level=logging.INFO,
format='%(levelname)8s: %(message)s -- in %(filename)s:%(lineno)d')
if __name__ == '__main__':
# Load the experiment name and output directory from program args
params: EvalParams = get_evaluation_params(
tmp_directory_suffix="paper-resource-usage",
name="paper-resource-usage")
# We are interested in the cell and scheduler dumps
types = ["cell-inp", "cell"]
# The used inp properties
inp_properties = [
# 0 # not used
1, # Sharp
2, # IncBricks
3, # NetCache
4, # DistCache
5, # NetChain
6, # Harmonia
7, # HovercRaft
logging.basicConfig(
level=logging.INFO,
format='%(levelname)8s: %(message)s -- in %(filename)s:%(lineno)d')
def str_to_safe_filename(s):
return "".join([c for c in s
if c.isalpha() or c.isdigit() or c == ' ']).rstrip()
label_x_inp = "INC demand, µ [%]"
if __name__ == '__main__':
# Load the experiment name and output directory from program args
params: EvalParams = get_evaluation_params(
tmp_directory_suffix="paper-inc-success-tg",
name="paper-inp-success-tg")
# We are interested in the cell and scheduler dumps
types = ["taskgroups", "scheduler"]
if 'scheduler' not in params.filter:
params.filter['scheduler'] = [
"hire,parallel-0-relax-cost-ssp--simple-flavor",
"hire,parallel-0-relax-cost-ssp"
]
mappers = {
"taskgroups": [
eval_after_24h_mapper,
remove_withdrawn_jobs_from_tenant_statistics,
foreach_sweep_constellation
from helpers.data_table_mappers import solver_time_mapper, summarize_cdf
from helpers.experiment_loader import load_multiple_experiments
from helpers.visualization_helpers import set_paper_aesthetics, plot_rel_multiple, plot_line_multiple
logging.basicConfig(level=logging.INFO, format='%(levelname)8s: %(message)s -- in %(filename)s:%(lineno)d')
def str_to_safe_filename(s):
return "".join([c for c in s if c.isalpha() or c.isdigit() or c == ' ']).rstrip()
if __name__ == '__main__':
# Load the experiment name and output directory from program args
params: EvalParams = get_evaluation_params(
tmp_directory_suffix="paper-solver",
name="paper-solver"
)
# We are interested in the cell and scheduler dumps
types = [
"solver"
]
mappers = {
"solver": [solver_time_mapper,
summarize_cdf(params, 'ElapsedTimeMs')]
}
if 'scheduler' not in params.filter:
params.filter['scheduler'] = ["hire,parallel-0-relax-cost-ssp"]