nova-solver-scheduler/nova/scheduler/solvers/linearconstraints/__init__.py

92 lines
3.7 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.
"""
Linear constraints for scheduler linear constraint solvers
"""
from nova.compute import api as compute
from nova import loadables
class BaseLinearConstraint(object):
"""Base class for linear constraint."""
# The linear constraint should be formed as:
# coeff_vector * var_vector' <operator> <constants>
# where <operator> is ==, >, >=, <, <=, !=, etc.
# For convenience, the <constants> can be merged into left-hand-side,
# thus the right-hand-side is always 0.
def __init__(self, variables, hosts, instance_uuids, request_spec,
filter_properties):
pass
def get_coefficient_vectors(self, variables, hosts, instance_uuids,
request_spec, filter_properties):
"""Retruns a list of coefficient vectors."""
raise NotImplementedError()
def get_variable_vectors(self, variables, hosts, instance_uuids,
request_spec, filter_properties):
"""Returns a list of variable vectors."""
raise NotImplementedError()
def get_operations(self, variables, hosts, instance_uuids, request_spec,
filter_properties):
"""Returns a list of operations."""
raise NotImplementedError()
class AffinityConstraint(BaseLinearConstraint):
def __init__(self, variables, hosts, instance_uuids, request_spec, filter_properties):
self.compute_api = compute.API()
[self.num_hosts, self.num_instances] = self._get_host_instance_nums(hosts,instance_uuids,request_spec)
def _get_host_instance_nums(self,hosts,instance_uuids,request_spec):
"""This method calculates number of hosts and instances"""
num_hosts = len(hosts)
if instance_uuids:
num_instances = len(instance_uuids)
else:
num_instances = request_spec.get('num_instances', 1)
return [num_hosts,num_instances]
class ResourceAllocationConstraint(BaseLinearConstraint):
"""Base class of resource allocation constraints."""
def __init__(self, variables, hosts, instance_uuids, request_spec,
filter_properties):
[self.num_hosts, self.num_instances] = self._get_host_instance_nums(
hosts, instance_uuids, request_spec)
def _get_host_instance_nums(self, hosts, instance_uuids, request_spec):
"""This method calculates number of hosts and instances."""
num_hosts = len(hosts)
if instance_uuids:
num_instances = len(instance_uuids)
else:
num_instances = request_spec.get('num_instances', 1)
return [num_hosts, num_instances]
class LinearConstraintHandler(loadables.BaseLoader):
def __init__(self):
super(LinearConstraintHandler, self).__init__(BaseLinearConstraint)
def all_linear_constraints():
"""Return a list of lineear constraint classes found in this directory.
This method is used as the default for available linear constraints for
scheduler and returns a list of all linearconstraint classes available.
"""
return LinearConstraintHandler().get_all_classes()