78 lines
3.0 KiB
Python
78 lines
3.0 KiB
Python
# Copyright (c) 2014 Cisco Systems, Inc.
|
|
# All Rights Reserved.
|
|
#
|
|
# 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.
|
|
|
|
"""
|
|
RAM Cost. Calculate instance placement costs by hosts' RAM usage.
|
|
|
|
The default is to spread instances across all hosts evenly. If you prefer
|
|
stacking, you can set the 'ram_cost_multiplier' option to a positive
|
|
number and the cost has the opposite effect of the default.
|
|
"""
|
|
|
|
from oslo.config import cfg
|
|
|
|
from nova.openstack.common.gettextutils import _
|
|
from nova.openstack.common import log as logging
|
|
from nova.scheduler.solvers import costs as solver_costs
|
|
from nova.scheduler.solvers.costs import utils
|
|
|
|
ram_cost_opts = [
|
|
cfg.FloatOpt('ram_cost_multiplier',
|
|
default=1.0,
|
|
help='Multiplier used for ram costs. Negative '
|
|
'numbers mean to stack vs spread.'),
|
|
]
|
|
|
|
CONF = cfg.CONF
|
|
CONF.register_opts(ram_cost_opts, group='solver_scheduler')
|
|
|
|
LOG = logging.getLogger(__name__)
|
|
|
|
|
|
class RamCost(solver_costs.BaseLinearCost):
|
|
|
|
def cost_multiplier(self):
|
|
return CONF.solver_scheduler.ram_cost_multiplier
|
|
|
|
def get_extended_cost_matrix(self, hosts, filter_properties):
|
|
num_hosts = len(hosts)
|
|
num_instances = filter_properties.get('num_instances')
|
|
|
|
instance_type = filter_properties.get('instance_type') or {}
|
|
requested_ram = instance_type.get('memory_mb', 0)
|
|
if 'memory_mb' not in instance_type:
|
|
LOG.warn(_("No information about requested instances\' RAM size "
|
|
"was found, default value (0) is used."))
|
|
|
|
extended_cost_matrix = [[0 for j in xrange(num_instances + 1)]
|
|
for i in xrange(num_hosts)]
|
|
|
|
if requested_ram == 0:
|
|
extended_cost_matrix = [
|
|
[(-hosts[i].free_ram_mb)
|
|
for j in xrange(num_instances + 1)]
|
|
for i in xrange(num_hosts)]
|
|
else:
|
|
# we use int approximation here to avoid scaling problems after
|
|
# normalization, in the case that the free ram in all hosts are
|
|
# of very small values
|
|
extended_cost_matrix = [
|
|
[-int(hosts[i].free_ram_mb / requested_ram) + j
|
|
for j in xrange(num_instances + 1)]
|
|
for i in xrange(num_hosts)]
|
|
extended_cost_matrix = utils.normalize_cost_matrix(
|
|
extended_cost_matrix)
|
|
return extended_cost_matrix
|