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Add periods input parameter

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This patch set adds new periods strategy input
parameter that allows to specify the time length of
statistic aggregation.

Change-Id: Id6c7900e7b909b0b325281c4038e07dc695847a1
This commit is contained in:
Alexander Chadin
2016-11-18 14:31:25 +03:00
parent 120c116655
commit 295c8d914c
3 changed files with 45 additions and 3 deletions
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17
watcher/decision_engine/strategy/strategies/workload_stabilization.py
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@@ -80,6 +80,7 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
self.host_choice = None
self.instance_metrics = None
self.retry_count = None
self.periods = None
@classmethod
def get_name(cls):
@@ -138,6 +139,17 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
"description": "Count of random returned hosts",
"type": "number",
"default": 1
},
"periods": {
"description": "These periods are used to get statistic "
"aggregation for instance and host "
"metrics. The period is simply a repeating"
" interval of time into which the samples"
" are grouped for aggregation. Watcher "
"uses only the last period of all recieved"
" ones.",
"type": "object",
"default": {"instance": 720, "node": 600}
}
}
}
@@ -190,7 +202,7 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
avg_meter = self.ceilometer.statistic_aggregation(
resource_id=instance_uuid,
meter_name=meter,
period="120",
period=self.periods['instance'],
aggregate='min'
)
if avg_meter is None:
@@ -244,7 +256,7 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
avg_meter = self.ceilometer.statistic_aggregation(
resource_id=resource_id,
meter_name=self.instance_metrics[metric],
period="60",
period=self.periods['node'],
aggregate='avg'
)
if avg_meter is None:
@@ -414,6 +426,7 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
self.host_choice = self.input_parameters.host_choice
self.instance_metrics = self.input_parameters.instance_metrics
self.retry_count = self.input_parameters.retry_count
self.periods = self.input_parameters.periods
def do_execute(self):
migration = self.check_threshold()