9d8fce85b1
Fixes bugs in resource tracker:
* Handle disk oversubscription
* Handle suspended/powered off instances
The usage model is changed to the old style that is
based on actual instance usage on a compute host.
(Not the current point in time of the hypervisor's
reported host stats)
There is now a 'limits' filter property that can be passed from
the scheduler to the compute node to indicate that
oversubscription of resources is desired:
The 'limits' filter property is a dict with the following possible
keys:
* memory_mb - Specifies the memory ceiling for the compute node.
* disk_gb - Specifies the disk space ceiling for the compute node.
* vcpu - Specifies the max number of vcpus for the compute node.
There is also some general cleanup and additional unit tests in
an attempt to simplify down this function.
bug 1048842
bug 1052157
Change-Id: I6ee851b8c03234a78a64d9f5c494dfc7059cdda4
(cherry picked from commit 8e851409f3
)
54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
# Copyright (c) 2011 OpenStack, LLC.
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# Copyright (c) 2012 Cloudscaling
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from nova import flags
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from nova.openstack.common import cfg
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from nova.openstack.common import log as logging
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from nova.scheduler import filters
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LOG = logging.getLogger(__name__)
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ram_allocation_ratio_opt = cfg.FloatOpt("ram_allocation_ratio",
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default=1.5,
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help="virtual ram to physical ram allocation ratio")
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FLAGS = flags.FLAGS
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FLAGS.register_opt(ram_allocation_ratio_opt)
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class RamFilter(filters.BaseHostFilter):
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"""Ram Filter with over subscription flag"""
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def host_passes(self, host_state, filter_properties):
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"""Only return hosts with sufficient available RAM."""
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instance_type = filter_properties.get('instance_type')
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requested_ram = instance_type['memory_mb']
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free_ram_mb = host_state.free_ram_mb
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total_usable_ram_mb = host_state.total_usable_ram_mb
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memory_mb_limit = total_usable_ram_mb * FLAGS.ram_allocation_ratio
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used_ram_mb = total_usable_ram_mb - free_ram_mb
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usable_ram = memory_mb_limit - used_ram_mb
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if not usable_ram >= requested_ram:
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LOG.debug(_("%(host_state)s does not have %(requested_ram)s MB "
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"usable ram, it only has %(usable_ram)s MB usable ram."),
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locals())
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return False
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# save oversubscription limit for compute node to test against:
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host_state.limits['memory_mb'] = memory_mb_limit
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return True
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