# limitations under the License.
from client import Client
from scenario_five import scenario_five
from scheduler import scheduler
from simulation import run_scenario
# Choose two random clients and spike their wanted capacity to 1000.
def spike():
client1 = Client.get_random_client()
client2 = client1
while client1 == client2:
client2 = Client.get_random_client()
client1.set_wants('resource0', 1000)
client2.set_wants('resource0', 1000)
# Like scenario five, but at t=150 two random clients spike their
# wanted capacity to 1000.
def scenario_six(reporter):
scenario_five(reporter)
reporter.set_filename('scenario_six')
scheduler.add_absolute(150, lambda: spike())
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_six(reporter))
# See the License for the specific language governing permissions and
# limitations under the License.
from client import Client
from server_job import ServerJob
from simulation import run_scenario
# Scenario 4: The simplest possible tree of servers, consisting of a
# regional job and a root job. Then five clients, pretty much like
# scenario one.
# resource0 has capacity of 500. Root server job with three tasks, five
# clients with randomly varying resource need around 100. No special
# effects.
def scenario_four(reporter):
root_job = ServerJob('root', 0, 3)
regional_job = ServerJob('regional', 1, 3, root_job)
for i in xrange(0, 5):
c = Client('client', regional_job)
c.add_resource('resource0', 0, 100, 0.1, 10)
reporter.schedule('resource0')
reporter.set_filename('scenario_four')
return regional_job
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_four(reporter))
# Copyright 2016 Google, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from scenario_one import scenario_one
from scheduler import scheduler
from simulation import run_scenario
# Scenario 2: Same as scenario 1, but with server failure and
# master election at T=120.
def scenario_two(reporter):
job = scenario_one(reporter)
scheduler.add_relative(120, lambda: job.lose_master())
scheduler.add_relative(140, lambda: job.trigger_master_election())
reporter.set_filename('scenario_two')
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_two(reporter))
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from client import Client
from server_job import ServerJob
from simulation import run_scenario
# Scenario 1: A simple scenario to show convergence.
# resource0 has capacity of 500. Root server job with three tasks, five
# clients with randomly varying resource needs.
def scenario_one(reporter):
job = ServerJob('root', 0, 3)
for i in xrange(0, 5):
c = Client('client', job)
c.add_resource('resource0', 0, 110, 0.1, 10)
reporter.schedule('resource0')
reporter.set_filename('scenario_one')
return job
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_one(reporter))
# Copyright 2016 Google, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from scenario_one import scenario_one
from scheduler import scheduler
from simulation import run_scenario
# Scenario 2: Same as scenario 1, but with server failure and
# master election at T=120.
def scenario_two(reporter):
job = scenario_one(reporter)
scheduler.add_relative(120, lambda: job.lose_master())
scheduler.add_relative(140, lambda: job.trigger_master_election())
reporter.set_filename('scenario_two')
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_two(reporter))
from client import Client
from scenario_five import scenario_five
from scheduler import scheduler
from simulation import run_scenario
# Choose two random clients and spike their wanted capacity to 1000.
def spike():
client1 = Client.get_random_client()
client2 = client1
while client1 == client2:
client2 = Client.get_random_client()
client1.set_wants('resource0', 1000)
client2.set_wants('resource0', 1000)
# Like scenario five, but at t=150 two random clients spike their
# wanted capacity to 1000.
def scenario_six(reporter):
scenario_five(reporter)
reporter.set_filename('scenario_six')
scheduler.add_absolute(150, lambda: spike())
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_six(reporter))
def random_mishap():
scheduler.add_relative(60, lambda: random_mishap())
total = max(_mishap_map.keys())
m = random.randint(0, total - 1)
n = 0
for (key, value) in _mishap_map.iteritems():
if n >= m:
Counter.get('mishap.%d' % key).inc()
value()
return
n += key
assert False
# Uses the setup of scenario five, but runs for a (simulated) hour
# and invokes random mishap every 60 seconds.
def scenario_seven(reporter):
scenario_five(reporter)
reporter.set_filename('scenario_seven')
scheduler.add_absolute(60, lambda: random_mishap())
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_seven(reporter), run_for=3600)
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from client import Client
from server_job import ServerJob
from simulation import run_scenario
# All out massive scenario: 9 datacenters, three regions, one root
# server.
def scenario_five(reporter, num_clients=5):
root_job = ServerJob('root', 0, 3)
for i in xrange(1, 4):
region_job = ServerJob('region:%i' % i, 1, 3, root_job)
for j in xrange(1, 4):
dc_job = ServerJob('dc:%d:%d' % (i, j), 2, 3, region_job)
for k in xrange(1, num_clients + 1):
client = Client('client:%d:%d' % (i, j), dc_job)
client.add_resource('resource0', 0, 15, 0.1, 10)
reporter.schedule('resource0')
reporter.set_filename('scenario_five')
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_five(reporter))
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from client import Client
from server_job import ServerJob
from simulation import run_scenario
# All out massive scenario: 9 datacenters, three regions, one root
# server.
def scenario_five(reporter, num_clients=5):
root_job = ServerJob('root', 0, 3)
for i in xrange(1, 4):
region_job = ServerJob('region:%i' % i, 1, 3, root_job)
for j in xrange(1, 4):
dc_job = ServerJob('dc:%d:%d' % (i, j), 2, 3, region_job)
for k in xrange(1, num_clients + 1):
client = Client('client:%d:%d' % (i, j), dc_job)
client.add_resource('resource0', 0, 15, 0.1, 10)
reporter.schedule('resource0')
reporter.set_filename('scenario_five')
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_five(reporter))
def random_mishap():
scheduler.add_relative(60, lambda: random_mishap())
total = max(_mishap_map.keys())
m = random.randint(0, total - 1)
n = 0
for (key, value) in _mishap_map.iteritems():
if n >= m:
Counter.get('mishap.%d' % key).inc()
value()
return
n += key
assert False
# Uses the setup of scenario five, but runs for a (simulated) hour
# and invokes random mishap every 60 seconds.
def scenario_seven(reporter):
scenario_five(reporter)
reporter.set_filename('scenario_seven')
scheduler.add_absolute(60, lambda: random_mishap())
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_seven(reporter), run_for=3600)
# See the License for the specific language governing permissions and
# limitations under the License.
from client import Client
from server_job import ServerJob
from simulation import run_scenario
# Scenario 4: The simplest possible tree of servers, consisting of a
# regional job and a root job. Then five clients, pretty much like
# scenario one.
# resource0 has capacity of 500. Root server job with three tasks, five
# clients with randomly varying resource need around 100. No special
# effects.
def scenario_four(reporter):
root_job = ServerJob('root', 0, 3)
regional_job = ServerJob('regional', 1, 3, root_job)
for i in xrange(0, 5):
c = Client('client', regional_job)
c.add_resource('resource0', 0, 100, 0.1, 10)
reporter.schedule('resource0')
reporter.set_filename('scenario_four')
return regional_job
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_four(reporter))
# Copyright 2016 Google, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from scenario_one import scenario_one
from scheduler import scheduler
from simulation import run_scenario
# Scenario 3: Same as scenario 2, but now we let the leases
# expire before the server comes back.
def scenario_three(reporter):
job = scenario_one(reporter)
scheduler.add_relative(120, lambda: job.lose_master())
scheduler.add_relative(190, lambda: job.trigger_master_election())
reporter.set_filename('scenario_three')
if __name__ == '__main__':
run_scenario(lambda reporter: scenario_three(reporter))