def retrieve(self, config: Configuration) -> SimulationResult:
if self.exists(config) is False:
return None
ident = config.get_ident_values()
index_filename = self._get_archive_folder() + self.FILENAME_JOIN_STR.join(ident) + self.JSON_EXT
with open(index_filename, 'rb') as json_index_file:
index = pickle.load(json_index_file)
results = SimulationResult(index.config, index.requests)
for vms, index_result in index.index.items():
filename = index_result.strip()
entry = self._read_file(filename)
results.add_simulator_result(vms, entry)
return results
def main():
setup_logging('main.log', level=logging.INFO)
# prepare the simulation
config = Configuration()
runner = SimulationRunner(config)
# for load_name in ['constant', 'sawtooth', 'sinusoid', 'square', 'triangle']:
for load_name in ['ndist']:
config.load_name = load_name
path = 'pareto_optimal_{load}.csv'.format(load=config.load_name)
with open(path, 'w', newline='') as csvfile:
writer = csv.writer(csvfile)
writer.writerow(config.get_ident_keys() + ['vms', 'cost'])
# for altitude in [1, 2, 4, 8, 16, 32, 64]:
for altitude in [700]:
config.load_altitude = altitude
try:
results = runner.load_cache()
if results is None:
results = runner.run()
runner.persist(results)
for num_vms, simulation in results.simulations.items():
writer.writerow(results.config.get_ident_values() +
[num_vms, simulation.total_cost])
with open('_'.join(config.get_ident_values()) + '.csv',
'w',
newline='') as loadfile:
loadwriter = csv.writer(loadfile)
loadwriter.writerow(['timestamp', 'requests'])
for step, request_step in enumerate(results.requests):
loadwriter.writerow([step, len(request_step)])
except Exception as e:
logging.error(
'Execution in run with sigma {sigma} failed: {e}'.
format(sigma=altitude, e=e))
def main():
setup_logging('main.log', level=logging.INFO)
# use-case configuration
param = 131072
request_memory = 112
vm_request_duration = 2055.25 / 1000 # in seconds
# prepare the simulation
config = Configuration()
runner = SimulationRunner(config)
config.load_name = 'constant'
config.load_spacing = 3600
config.load_num_requests = 14400 # only relevant for ndist load
config.simulation_end = 3600
config.request_memory = request_memory
config.request_duration = vm_request_duration
for load_name in [
'constant', 'sawtooth', 'sinusoid', 'square', 'triangle'
]:
# for load_name in ['ndist']:
config.load_name = load_name
path = 'pareto_optimal_{load}.csv'.format(load=config.load_name)
with open(path, 'w', newline='') as csvfile:
writer = csv.writer(csvfile)
writer.writerow(config.get_ident_keys() + ['vms', 'cost'])
for altitude in [1, 2, 4, 8, 16, 32, 64]:
#for altitude in [100, 250, 500, 750, 1000]:
config.load_altitude = altitude
try:
results = runner.load_cache()
if results is None:
results = runner.run()
runner.persist(results)
for num_vms, simulation in results.simulations.items():
writer.writerow(results.config.get_ident_values() +
[num_vms, simulation.total_cost])
with open('_'.join(config.get_ident_values()) + '.csv',
'w',
newline='') as loadfile:
loadwriter = csv.writer(loadfile)
loadwriter.writerow(['timestamp', 'requests'])
for step, request_step in enumerate(results.requests):
loadwriter.writerow([step, len(request_step)])
except Exception as e:
logging.error(
'Execution in run with sigma {sigma} failed: {e}'.
format(sigma=altitude, e=e))
def __init__(self):
self.config = Configuration()
self.simulator = SimulatorComponent(self.config)
def remove(self, config: Configuration):
ident = config.get_ident_values()
path = self._get_archive_folder() + self.FILENAME_JOIN_STR.join(
ident) + self.JSON_EXT
if os.path.exists(path):
os.remove(path)
def exists(self, config: Configuration) -> bool:
ident = config.get_ident_values()
path = self._get_archive_folder() + self.FILENAME_JOIN_STR.join(
ident) + self.JSON_EXT
return os.path.exists(path)
def create() -> Configuration:
config = Configuration()
config.simulation_start = 0
config.simulation_end = 10
config.request_duration = 2
config.request_memory = 255
config.request_variation = 0.0
config.vm_parallel = 2
config.vm_scaling_degradation = 0.00
config.vm_min_instances = 0
config.vm_auto_scaling = True
config.faas_performance_m = 0
config.faas_performance_a = 1
config.load_name = "constant"
config.load_altitude = 3
config.load_spacing = 20
config.plotting = False
return config