def main():
try:
check_sanity()
except Exception as e:
MyUtils.log_error("{0} {1}".format(str(e),
str(traceback.format_exc())),
debug=True)
def main():
try:
rebalancer = ReBalancer()
rebalancer.rebalance()
except Exception as e:
MyUtils.log_error("{0} {1}".format(str(e),
str(traceback.format_exc())),
debug=True)
def main():
try:
energy_manager = EnergyManager()
energy_manager.process()
except Exception as e:
MyUtils.log_error("{0} {1}".format(str(e),
str(traceback.format_exc())),
debug=True)
def check_unstable_configuration():
try:
MyUtils.log_info("Checking for invalid configuration", debug)
service = MyUtils.get_service(db_handler, "guardian")
guardian_configuration = service["config"]
event_timeout = MyUtils.get_config_value(
guardian_configuration,
src.Guardian.Guardian.CONFIG_DEFAULT_VALUES, "EVENT_TIMEOUT")
window_timelapse = MyUtils.get_config_value(
guardian_configuration,
src.Guardian.Guardian.CONFIG_DEFAULT_VALUES, "WINDOW_TIMELAPSE")
rules = db_handler.get_rules()
for rule in rules:
if "generates" in rule and rule[
"generates"] == "requests" and rule["active"]:
event_count = int(rule["events_to_remove"])
event_window_time_to_trigger = window_timelapse * (event_count)
# Leave a slight buffer time to account for window times skewness
if event_window_time_to_trigger > event_timeout:
MyUtils.log_error(
"Rule: '{0}' could never be activated -> guardian event timeout: '{1}', number of events"
.format(rule["name"], str(event_timeout)) +
" required to trigger the rule: '{0}' and guardian polling time: '{1}'"
.format(str(event_count), str(window_timelapse)),
debug)
except Exception as e:
MyUtils.log_error(
"Error doing configuration check up: {0} {1}".format(
str(e), str(traceback.format_exc())), debug)
def app_can_be_rebalanced(application, rebalancing_level, couchdb_handler):
try:
data = {
# "energy":
# {"structure":
# {"energy":
# {"usage": application["resources"]["energy"]["usage"],
# "max": application["resources"]["energy"]["max"]}}},
"cpu": {
"structure": {
"cpu": {
"usage": application["resources"]["cpu"]["usage"],
"min": application["resources"]["cpu"]["min"],
"current": application["resources"]["cpu"]["current"]
}
}
}
}
except KeyError:
return False
if rebalancing_level != "container" and rebalancing_level != "application":
MyUtils.log_error(
"Invalid app rebalancing policy '{0}'".format(rebalancing_level),
debug=True)
return False
# rule_low_usage = couchdb_handler.get_rule("energy_exceeded_upper")
# if jsonLogic(rule_low_usage["rule"], data):
# # Application is overusing energy
# if rebalancing_level == "container":
# # Let the Guardian or the dynamic energy balancing deal with it
# return False
# elif rebalancing_level == "application":
# # It may be a receiver for dynamic energy rebalancing
# return True
#
# rule_high_usage = couchdb_handler.get_rule("energy_dropped_lower")
# if jsonLogic(rule_high_usage["rule"], data):
# # Application is underusing energy
# if rebalancing_level == "container":
# # Let the Guardian or the dynamic energy balancing deal with it
# return False
# # It may be a donor for dynamic energy rebalancing
# elif rebalancing_level == "application":
# return True
# The application is in the middle area of energy utilization
if rebalancing_level == "container":
# Perform an internal balancing through container cpu limit rebalancing
return True
elif rebalancing_level == "application":
# It may need internal container rebalancing
return False
def rebalance(self, ):
logging.basicConfig(filename=SERVICE_NAME + '.log', level=logging.INFO)
while True:
# Get service info
service = MyUtils.get_service(self.couchdb_handler, SERVICE_NAME)
# Heartbeat
MyUtils.beat(self.couchdb_handler, SERVICE_NAME)
# CONFIG
self.config = service["config"]
self.debug = MyUtils.get_config_value(self.config,
CONFIG_DEFAULT_VALUES,
"DEBUG")
window_difference = MyUtils.get_config_value(
self.config, CONFIG_DEFAULT_VALUES, "WINDOW_TIMELAPSE")
#self.userReBalancer.rebalance_users(self.config)
#self.applicationReBalancer.rebalance_applications(self.config)
self.containerRebalancer.rebalance_containers(self.config)
MyUtils.log_info(
"Epoch processed at {0}".format(MyUtils.get_time_now_string()),
self.debug)
time.sleep(window_difference)
def __dynamic_app_rebalancing(self, applications):
donors, receivers = list(), list()
for app in applications:
if self.__app_energy_can_be_rebalanced(app):
diff = app["resources"]["energy"]["max"] - app["resources"][
"energy"]["usage"]
if diff > self.__ENERGY_DIFF_PERCENTAGE * app["resources"][
"energy"]["max"]:
donors.append(app)
else:
receivers.append(app)
if not receivers:
MyUtils.log_info("No app to give energy shares", self.__debug)
return
else:
# Order the apps from lower to upper energy limit
apps_to_receive = sorted(
receivers, key=lambda c: c["resources"]["energy"]["max"])
shuffling_tuples = list()
for app in donors:
diff = app["resources"]["energy"]["max"] - app["resources"][
"energy"]["usage"]
stolen_amount = self.__ENERGY_STOLEN_PERCENTAGE * diff
shuffling_tuples.append((app, stolen_amount))
shuffling_tuples = sorted(shuffling_tuples, key=lambda c: c[1])
# Give the resources to the bottlenecked applications
for receiver in apps_to_receive:
if shuffling_tuples:
donor, amount_to_scale = shuffling_tuples.pop(0)
else:
MyUtils.log_info(
"No more donors, app {0} left out".format(
receiver["name"]), self.__debug)
continue
donor["resources"]["energy"]["max"] -= amount_to_scale
receiver["resources"]["energy"]["max"] += amount_to_scale
MyUtils.update_structure(donor, self.__couchdb_handler,
self.__debug)
MyUtils.update_structure(receiver, self.__couchdb_handler,
self.__debug)
MyUtils.log_info(
"Energy swap between {0}(donor) and {1}(receiver)".format(
donor["name"], receiver["name"]), self.__debug)
def check_sanity():
logging.basicConfig(filename=SERVICE_NAME + '.log', level=logging.INFO)
global debug
while True:
# Get service info
service = MyUtils.get_service(db_handler, SERVICE_NAME)
# CONFIG
config = service["config"]
debug = MyUtils.get_config_value(config, CONFIG_DEFAULT_VALUES,
"DEBUG")
delay = MyUtils.get_config_value(config, CONFIG_DEFAULT_VALUES,
"DELAY")
compact_databases()
check_unstable_configuration()
# check_core_mapping()
MyUtils.log_info("Sanity checked", debug)
time_waited = 0
heartbeat_delay = 10 # seconds
while time_waited < delay:
# Heartbeat
MyUtils.beat(db_handler, SERVICE_NAME)
time.sleep(heartbeat_delay)
time_waited += heartbeat_delay
def beat(self):
# Serverless Containers
from src.StateDatabase import couchdb as couchDB
from src.MyUtils import MyUtils as MyUtils
self.logger.info("Starting heartbeat of " + self.SERVICE_NAME)
db_handler = couchDB.CouchDBServer()
while True:
try:
MyUtils.beat(db_handler, self.SERVICE_NAME)
time.sleep(10)
except ValueError:
# Service not found:
# - maybe it doesn't exist at all, register it
# - it may have been deleted while the daemon was running, re-register it
register_service(db_handler, self.SERVICE_NAME)
except requests.ConnectionError:
# Error connecting to the Couchdb database, ignore as it may be temporary
pass
def disable_scaler(scaler_service):
scaler_service["config"]["ACTIVE"] = False
get_db().update_service(scaler_service)
# Wait a little bit, half the polling time of the Scaler
polling_freq = MyUtils.get_config_value(
scaler_service["config"], src.Scaler.Scaler.CONFIG_DEFAULT_VALUES,
"POLLING_FREQUENCY")
time.sleep(int(polling_freq))
def __inter_user_rebalancing(self, users):
donors, receivers = list(), list()
for user in users:
diff = user["energy"]["max"] - user["energy"]["used"]
if diff > self.__ENERGY_DIFF_PERCENTAGE * user["energy"]["max"]:
donors.append(user)
else:
receivers.append(user)
if not receivers:
MyUtils.log_info("No user to give energy shares", self.__debug)
return
else:
# Order the apps from lower to upper energy limit
users_to_receive = sorted(receivers,
key=lambda c: c["energy"]["max"])
shuffling_tuples = list()
for user in donors:
diff = user["energy"]["max"] - user["energy"]["used"]
stolen_amount = self.__ENERGY_STOLEN_PERCENTAGE * diff
shuffling_tuples.append((user, stolen_amount))
shuffling_tuples = sorted(shuffling_tuples, key=lambda c: c[1])
# Give the resources to the other users
for receiver in users_to_receive:
if shuffling_tuples:
donor, amount_to_scale = shuffling_tuples.pop(0)
else:
MyUtils.log_info(
"No more donors, user {0} left out".format(
receiver["name"]), self.__debug)
continue
donor["energy"]["max"] -= amount_to_scale
receiver["energy"]["max"] += amount_to_scale
MyUtils.update_user(donor, self.__couchdb_handler, self.__debug)
MyUtils.update_user(receiver, self.__couchdb_handler, self.__debug)
MyUtils.log_info(
"Energy swap between {0}(donor) and {1}(receiver)".format(
donor["name"], receiver["name"]), self.__debug)
def __static_app_rebalancing(self, applications, max_energy):
# Add up all the shares
total_shares = sum(
[app["resources"]["energy"]["shares"] for app in applications])
# For each application calculate the energy according to its shares
for app in applications:
percentage = app["resources"]["energy"]["shares"] / total_shares
limit_energy = int(max_energy * percentage)
current_energy = app["resources"]["energy"]["max"]
# If the database record and the new limit are not the same, update
if current_energy != limit_energy:
app["resources"]["energy"]["max"] = limit_energy
self.__couchdb_handler.update_structure(app)
MyUtils.log_info(
"Updated energy limit of app {0}".format(app["name"]),
self.__debug)
def update_user_used_energy(self, applications, users):
for user in users:
total_user = {"cpu": 0, "energy": 0}
total_user_current_cpu = 0
user_apps = get_user_apps(applications, user)
for app in user_apps:
for resource in ["energy", "cpu"]:
if "usage" in app["resources"][resource] and app[
"resources"][resource]["usage"]:
total_user[resource] += app["resources"][resource][
"usage"]
else:
MyUtils.log_error(
"Application {0} of user {1} has no used {2} field or value"
.format(app["name"], user["name"],
resource), self.__debug)
if "current" in app["resources"]["cpu"] and app["resources"][
"cpu"]["usage"]:
total_user_current_cpu += app["resources"][resource][
"current"]
else:
MyUtils.log_error(
"Application {0} of user {1} has no current cpu field or value"
.format(app["name"], user["name"]), self.__debug)
user["energy"]["used"] = total_user["energy"]
user["cpu"]["usage"] = total_user["cpu"]
user["cpu"]["current"] = total_user_current_cpu
self.__couchdb_handler.update_user(user)
MyUtils.log_info(
"Updated energy consumed by user {0}".format(user["name"]),
self.__debug)
def desubscribe_container(structure_name):
structure = retrieve_structure(structure_name)
cont_name = structure["name"]
# Look for any application that hosts this container, and remove it from the list
apps = get_db().get_structures(subtype="application")
for app in apps:
if cont_name in app["containers"]:
desubscribe_container_from_app(structure_name, app["name"])
# Disable the Scaler as we will modify the core mapping of a host
scaler_service = get_db().get_service(src.Scaler.Scaler.SERVICE_NAME)
previous_state = MyUtils.get_config_value(
scaler_service["config"], src.Scaler.Scaler.CONFIG_DEFAULT_VALUES,
"ACTIVE")
if previous_state:
disable_scaler(scaler_service)
# Free resources
# CPU
# Get the core map of the container's host and free the allocated shares for this container
cont_host = structure["host"]
host = get_db().get_structure(cont_host)
core_map = host["resources"]["cpu"]["core_usage_mapping"]
freed_shares = 0
for core in core_map:
if cont_name in core_map[core]:
core_shares = core_map[core][cont_name]
freed_shares += core_shares
core_map[core][cont_name] = 0
core_map[core]["free"] += core_shares
host["resources"]["cpu"]["core_usage_mapping"] = core_map
host["resources"]["cpu"]["free"] += freed_shares
# MEM
host["resources"]["mem"]["free"] += structure["resources"]["mem"][
"current"]
get_db().update_structure(host)
# Delete the document for this structure
get_db().delete_structure(structure)
# Restore the previous state of the Scaler service
restore_scaler_state(scaler_service, previous_state)
return jsonify(201)
def compact_databases():
try:
compacted_dbs = list()
for db in DATABASES:
success = db_handler.compact_database(db)
if success:
compacted_dbs.append(db)
else:
MyUtils.log_warning(
"Database {0} could not be compacted".format(db), debug)
MyUtils.log_info(
"Databases {0} have been compacted".format(str(compacted_dbs)),
debug)
except Exception as e:
MyUtils.log_error(
"Error doing database compaction: {0} {1}".format(
str(e), str(traceback.format_exc())), debug)
def rebalance_users(self, config):
self.__config = config
self.__debug = MyUtils.get_config_value(self.__config,
CONFIG_DEFAULT_VALUES, "DEBUG")
rebalance_users = MyUtils.get_config_value(self.__config,
CONFIG_DEFAULT_VALUES,
"REBALANCE_USERS")
self.__ENERGY_DIFF_PERCENTAGE = MyUtils.get_config_value(
self.__config, CONFIG_DEFAULT_VALUES, "ENERGY_DIFF_PERCENTAGE")
self.__ENERGY_STOLEN_PERCENTAGE = MyUtils.get_config_value(
self.__config, CONFIG_DEFAULT_VALUES, "ENERGY_STOLEN_PERCENTAGE")
MyUtils.log_info(
"ENERGY_DIFF_PERCENTAGE -> {0}".format(
self.__ENERGY_DIFF_PERCENTAGE), self.__debug)
MyUtils.log_info(
"ENERGY_STOLEN_PERCENTAGE -> {0}".format(
self.__ENERGY_STOLEN_PERCENTAGE), self.__debug)
MyUtils.log_info("_______________", self.__debug)
MyUtils.log_info("Performing USER ENERGY Balancing", self.__debug)
try:
#applications = MyUtils.get_structures(self.__couchdb_handler, self.__debug, subtype="application")
users = self.__couchdb_handler.get_users()
except requests.exceptions.HTTPError as e:
MyUtils.log_error("Couldn't get users and/or applications",
self.__debug)
MyUtils.log_error(str(e), self.__debug)
return
#self.update_user_used_energy(applications, users)
if rebalance_users:
self.__inter_user_rebalancing(users)
MyUtils.log_info("_______________\n", self.__debug)
def register_service(db_handler, service_name):
service = dict(name=service_name,
heartbeat="",
heartbeat_human="",
type="service")
MyUtils.register_service(db_handler, service)
def subscribe_container(structure_name):
req_cont = request.json["container"]
req_limits = request.json["limits"]
node_scaler_session = requests.Session()
# Check that all the needed data is present on the requestes container
container = {}
for key in [
"name", "host_rescaler_ip", "host_rescaler_port", "host", "guard",
"subtype"
]:
if key not in req_cont:
return abort(400, {"message": "Missing key '{0}'".format(key)})
else:
container[key] = req_cont[key]
# Check that all the needed data for resources is present on the requested container
container["resources"] = {}
if "resources" not in req_cont:
return abort(400, {"message": "Missing resource information"})
elif "cpu" not in req_cont["resources"] or "mem" not in req_cont[
"resources"]:
return abort(400,
{"message": "Missing cpu or mem resource information"})
else:
container["resources"] = {"cpu": {}, "mem": {}}
for key in ["max", "min", "current", "guard"]:
if key not in req_cont["resources"]["cpu"] or key not in req_cont[
"resources"]["mem"]:
return abort(
400, {
"message":
"Missing key '{0}' for cpu or mem resource".format(key)
})
else:
container["resources"]["cpu"][key] = req_cont["resources"][
"cpu"][key]
container["resources"]["mem"][key] = req_cont["resources"][
"mem"][key]
# Check that the endpoint requested container name matches with the one in the request
if container["name"] != structure_name:
return abort(400, {"message": "Name mismatch".format(key)})
# Check if the container already exists
try:
cont = get_db().get_structure(structure_name)
if cont:
return abort(400, {
"message":
"Container with this name already exists".format(key)
})
except ValueError:
pass
# Check that its supposed host exists and that it reports this container
try:
get_db().get_structure(container["host"])
except ValueError:
return abort(400,
{"message": "Container host does not exist".format(key)})
host_containers = get_host_containers(container["host_rescaler_ip"],
container["host_rescaler_port"],
node_scaler_session, True)
if container["name"] not in host_containers:
return abort(
400, {
"message":
"Container host does not report any container named '{0}'".
format(container["name"])
})
container["type"] = "structure"
# Check that all the needed data for resources is present on the requested container LIMITS
limits = {}
if "resources" not in req_limits:
return abort(
400, {"message": "Missing resource information for the limits"})
elif "cpu" not in req_limits["resources"] or "mem" not in req_limits[
"resources"]:
return abort(400, {
"message":
"Missing cpu or mem resource information for the limits"
})
else:
limits["resources"] = {"cpu": {}, "mem": {}}
for key in ["boundary"]:
if key not in req_limits["resources"][
"cpu"] or key not in req_limits["resources"]["mem"]:
return abort(
400, {
"message":
"Missing key '{0}' for cpu or mem resource".format(key)
})
else:
limits["resources"]["cpu"][key] = req_limits["resources"][
"cpu"][key]
limits["resources"]["mem"][key] = req_limits["resources"][
"mem"][key]
limits["type"] = 'limit'
limits["name"] = container["name"]
#### ALL looks good up to this point, proceed
# Disable the Scaler as we will modify the core mapping of a host
scaler_service = get_db().get_service(src.Scaler.Scaler.SERVICE_NAME)
previous_state = MyUtils.get_config_value(
scaler_service["config"], src.Scaler.Scaler.CONFIG_DEFAULT_VALUES,
"ACTIVE")
if previous_state:
disable_scaler(scaler_service)
# Get the host info
cont_host = container["host"]
cont_name = container["name"]
host = get_db().get_structure(cont_host)
# CPU
# Look for resource shares on the container's host
needed_shares = container["resources"]["cpu"]["current"]
if host["resources"]["cpu"]["free"] < needed_shares:
return abort(
400, {"message": "Host does not have enough shares".format(key)})
core_map = host["resources"]["cpu"]["core_usage_mapping"]
host_max_cores = int(host["resources"]["cpu"]["max"] / 100)
host_cpu_list = [str(i) for i in range(host_max_cores)]
pending_shares = needed_shares
used_cores = list()
# Try to satisfy the request by looking and adding a single core
for core in host_cpu_list:
if core_map[core]["free"] >= pending_shares:
core_map[core]["free"] -= pending_shares
core_map[core][cont_name] += pending_shares
pending_shares = 0
used_cores.append(core)
break
# Finally, if unsuccessful, add as many cores as necessary, starting with the ones with the largest free shares to avoid too much spread
if pending_shares > 0:
l = list()
for core in host_cpu_list:
l.append((core, core_map[core]["free"]))
l.sort(key=lambda tup: tup[1], reverse=True)
less_used_cores = [i[0] for i in l]
for core in less_used_cores:
# If this core has free shares
if core_map[core]["free"] > 0 and pending_shares > 0:
if cont_name not in core_map[core]:
core_map[core][cont_name] = 0
# If it has more free shares than needed, assign them and finish
if core_map[core]["free"] >= pending_shares:
core_map[core]["free"] -= pending_shares
core_map[core][cont_name] += pending_shares
pending_shares = 0
used_cores.append(core)
break
else:
# Otherwise, assign as many as possible and continue
core_map[core][cont_name] += core_map[core]["free"]
pending_shares -= core_map[core]["free"]
core_map[core]["free"] = 0
used_cores.append(core)
if pending_shares > 0:
return abort(
400, {
"message":
"Container host does not have enough free CPU shares as requested"
})
host["resources"]["cpu"]["core_usage_mapping"] = core_map
host["resources"]["cpu"]["free"] -= needed_shares
# MEM
needed_memory = container["resources"]["mem"]["current"]
host_memory = host["resources"]["mem"]["free"]
if needed_memory > host_memory:
return abort(400, {
"message":
"Container host does not have enough free memory requested"
})
host["resources"]["mem"]["free"] -= needed_memory
resource_dict = {
"cpu": {
"cpu_num": ",".join(used_cores),
"cpu_allowance_limit": needed_shares
},
"mem": {
"mem_limit": needed_memory
}
}
Scaler.set_container_resources(node_scaler_session, container,
resource_dict, True)
get_db().add_structure(container)
get_db().add_limit(limits)
get_db().update_structure(host)
# Restore the previous state of the Scaler service
restore_scaler_state(scaler_service, previous_state)
return jsonify(201)
def process(self, ):
logging.basicConfig(filename=SERVICE_NAME + '.log', level=logging.INFO)
while True:
# Get service info
service = MyUtils.get_service(self.couchdb_handler, SERVICE_NAME)
config = service["config"]
self.debug = MyUtils.get_config_value(config,
CONFIG_DEFAULT_VALUES,
"DEBUG")
polling_frequency = MyUtils.get_config_value(
config, CONFIG_DEFAULT_VALUES, "POLLING_FREQUENCY")
# Heartbeat
MyUtils.beat(self.couchdb_handler, SERVICE_NAME)
# Remote database operation
users = None
structures = None
try:
structures = MyUtils.get_structures(self.couchdb_handler,
self.debug,
subtype="application")
users = self.couchdb_handler.get_users()
except requests.exceptions.HTTPError as e:
MyUtils.log_error("Couldn't get users", self.debug)
MyUtils.log_error(str(e), self.debug)
for user in users:
MyUtils.log_info("Processing user {0}".format(user["name"]),
self.debug)
max_energy = user["energy"]["max"]
# Add up all the shares
total_shares = 0
for structure in structures:
if structure["name"] in user["clusters"]:
total_shares += structure["resources"]["energy"][
"shares"]
total_user_energy = 0
for structure in structures:
if structure["name"] in user["clusters"]:
percentage = structure["resources"]["energy"][
"shares"] / total_shares
limit_energy = max_energy * percentage
current_energy = structure["resources"]["energy"][
"max"]
if current_energy != limit_energy:
structure["resources"]["energy"][
"max"] = limit_energy
self.couchdb_handler.update_structure(structure)
MyUtils.log_info(
"Processed cluster {0} with an energy share of {1}% and {2} Watts"
.format(structure["name"],
str("%.2f" % (100 * percentage)),
limit_energy), self.debug)
if "used" in structure["resources"]["energy"]:
total_user_energy += structure["resources"][
"energy"]["used"]
MyUtils.log_info(
"Updated energy consumed by user {0}".format(user["name"]),
self.debug)
user["energy"]["used"] = total_user_energy
self.couchdb_handler.update_user(user)
MyUtils.log_info(
"Epoch processed at {0}".format(MyUtils.get_time_now_string()),
self.debug)
time.sleep(polling_frequency)
def test_match_rules_and_events(self):
def get_valid_state():
st = {
"guard": True,
"guard_policy": "serverless",
"host": "c14-13",
"host_rescaler_ip": "c14-13",
"host_rescaler_port": "8000",
"name": "node0",
"resources": {
"cpu": {
"current": 140,
"guard": True,
"max": 200,
"min": 50
},
"energy": {
"guard": False,
"max": 20,
"min": 0,
"usage": 2.34
},
"mem": {
"current": 3072,
"guard": True,
"max": 10240,
"min": 512
}
},
"subtype": "container",
"type": "structure"
}
lim = {"cpu": {"upper": 120, "lower": 80, "boundary": 20},
"mem": {"upper": 2048, "lower": 1024, "boundary": 1024},
"energy": {"upper": 20, "lower": 10, "boundary": 5},
}
us = {"structure.cpu.usage": 100, "structure.mem.usage": 1536, "structure.energy.usage": 15}
return st, lim, us
event_rules = [cpu_exceeded_upper, cpu_dropped_lower, mem_exceeded_upper, mem_dropped_lower,
energy_exceeded_upper, energy_dropped_lower]
rescaling_rules = [CpuRescaleUp, CpuRescaleDown, MemRescaleUp, MemRescaleDown, EnergyRescaleUp,
EnergyRescaleDown]
for rule in event_rules + rescaling_rules:
rule["active"] = True
self.guardian.guardable_resources = ["cpu", "mem"]
for tuple in [("cpu", CpuRescaleDown, -50), ("mem", MemRescaleDown, -50), ("cpu", CpuRescaleUp, 100),
("mem", MemRescaleUp, 2034)]:
resource, rescale_rule, amount = tuple
structure, limits, usages = get_valid_state()
usages["structure." + resource + ".usage"] = limits[resource]["lower"] + amount
events = list()
num_needed_events = rescale_rule["rule"]["and"][0][">="][1]
for i in range(num_needed_events):
events += self.guardian.match_usages_and_limits(structure["name"], event_rules, usages, limits,
structure["resources"])
events = self.guardian.reduce_structure_events(events)
generated_requests, events_to_remove = self.guardian.match_rules_and_events(structure, rescaling_rules, events, limits, usages)
expected_events_to_remove = dict()
event_to_remove_name = MyUtils.generate_event_name(events[resource]["events"], resource)
expected_events_to_remove[event_to_remove_name] = num_needed_events
TestCase.assertEqual(self, first=expected_events_to_remove, second=events_to_remove)
def rebalance_applications(self, config):
self.__config = config
self.__debug = MyUtils.get_config_value(self.__config,
CONFIG_DEFAULT_VALUES, "DEBUG")
self.__ENERGY_DIFF_PERCENTAGE = MyUtils.get_config_value(
self.__config, CONFIG_DEFAULT_VALUES, "ENERGY_DIFF_PERCENTAGE")
self.__ENERGY_STOLEN_PERCENTAGE = MyUtils.get_config_value(
self.__config, CONFIG_DEFAULT_VALUES, "ENERGY_STOLEN_PERCENTAGE")
MyUtils.log_info("_______________", self.__debug)
MyUtils.log_info("Performing APP ENERGY Balancing", self.__debug)
MyUtils.log_info(
"ENERGY_DIFF_PERCENTAGE -> {0}".format(
self.__ENERGY_DIFF_PERCENTAGE), self.__debug)
MyUtils.log_info(
"ENERGY_STOLEN_PERCENTAGE -> {0}".format(
self.__ENERGY_STOLEN_PERCENTAGE), self.__debug)
try:
applications = MyUtils.get_structures(self.__couchdb_handler,
self.__debug,
subtype="application")
users = self.__couchdb_handler.get_users()
except requests.exceptions.HTTPError as e:
MyUtils.log_error("Couldn't get users and/or applications",
self.__debug)
MyUtils.log_error(str(e), self.__debug)
return
for user in users:
MyUtils.log_info("Processing user {0}".format(user["name"]),
self.__debug)
user_apps = get_user_apps(applications, user)
if "energy_policy" not in user:
balancing_policy = "static"
MyUtils.log_info(
"Energy balancing policy unset for user {0}, defaulting to 'static'"
.format(user["name"]), self.__debug)
else:
balancing_policy = user["energy_policy"]
MyUtils.log_info(
"User {0} has {1} policy".format(user["name"],
balancing_policy),
self.__debug)
if balancing_policy == "static":
max_energy = user["energy"]["max"]
self.__static_app_rebalancing(user_apps, max_energy)
elif balancing_policy == "dynamic":
self.__dynamic_app_rebalancing(user_apps)
else:
MyUtils.log_error(
"Unknown energy balancing policy '{0}'".format(
balancing_policy), self.__debug)
MyUtils.log_info("_______________\n", self.__debug)
