nova-solver-scheduler/nova_solverscheduler/scheduler/solvers/constraints/numa_topology_constraint.py

73 lines
2.8 KiB
Python

# Copyright (c) 2015 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.
import copy
from oslo_log import log as logging
from nova.scheduler.filters import numa_topology_filter
from nova_solverscheduler.scheduler.solvers import constraints
LOG = logging.getLogger(__name__)
class NUMATopologyConstraint(constraints.BaseLinearConstraint):
"""Constraint on requested NUMA topology."""
def __init__(self):
super(NUMATopologyConstraint, self).__init__()
self.host_filter = numa_topology_filter.NUMATopologyFilter()
def _get_acceptable_instance_num(self, host_state, filter_properties,
max_num):
instance = filter_properties['request_spec']['instance_properties']
acceptable_num = 0
while acceptable_num < max_num:
if self.host_filter.host_passes(host_state, filter_properties):
acceptable_num += 1
host_state.consume_from_instance(instance)
else:
break
return acceptable_num
def get_constraint_matrix(self, hosts, filter_properties):
num_hosts = len(hosts)
num_instances = filter_properties.get('num_instances')
constraint_matrix = [[True for j in xrange(num_instances)]
for i in xrange(num_hosts)]
for i in xrange(num_hosts):
host_state = copy.deepcopy(hosts[i])
acceptable_instance_num = self._get_acceptable_instance_num(
host_state, filter_properties, num_instances)
if acceptable_instance_num < num_instances:
inacceptable_num = num_instances - acceptable_instance_num
constraint_matrix[i] = (
[True for j in xrange(acceptable_instance_num)] +
[False for j in xrange(inacceptable_num)])
LOG.debug("%(host)s can accept %(num)s requested instances "
"according to NUMATopologyConstraint.",
{'host': hosts[i],
'num': acceptable_instance_num})
numa_topology_limit = host_state.limits.get('numa_topology')
if numa_topology_limit:
hosts[i].limits['numa_topology'] = numa_topology_limit
return constraint_matrix