35066dfe60
As instance migration cost is petty compared to the cost of compute node release, I update the way to compute the global efficacy for a server consolidation goal. The new formula is simplest and it's only based on compute node. Change-Id: Ibcce31a85af70429f412c96c584a761d681366a2
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
# -*- encoding: utf-8 -*-
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# Copyright (c) 2016 b<>com
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from watcher._i18n import _
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from watcher.decision_engine.goal.efficacy import base
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from watcher.decision_engine.goal.efficacy import indicators
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from watcher.decision_engine.solution import efficacy
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class Unclassified(base.EfficacySpecification):
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def get_indicators_specifications(self):
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return ()
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def get_global_efficacy_indicator(self, indicators_map):
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return None
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class ServerConsolidation(base.EfficacySpecification):
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def get_indicators_specifications(self):
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return [
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indicators.ComputeNodesCount(),
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indicators.ReleasedComputeNodesCount(),
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indicators.InstanceMigrationsCount(),
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]
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def get_global_efficacy_indicator(self, indicators_map=None):
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value = 0
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if indicators_map and indicators_map.compute_nodes_count > 0:
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value = (float(indicators_map.released_compute_nodes_count) /
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float(indicators_map.compute_nodes_count)) * 100
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return efficacy.Indicator(
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name="released_nodes_ratio",
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description=_("Ratio of released compute nodes divided by the "
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"total number of enabled compute nodes."),
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unit='%',
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value=value,
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)
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