Arnike/watcher
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Merge "Add debug message to report calculated metric for workload_balance"

Browse Source
This commit is contained in:
Zuul
2025-06-18 12:26:24 +00:00
committed by Gerrit Code Review
parent 31879d26f4 1529e3fadd
commit 0f78386462
3 changed files with 71 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files

38
watcher/decision_engine/strategy/strategies/workload_balance.py
View File

@@ -192,15 +192,30 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
if (free_res['vcpu'] >= required_cores and
free_res['memory'] >= required_mem and
free_res['disk'] >= required_disk):
if (self._meter == 'instance_cpu_usage' and
((src_instance_workload + workload) <
self.threshold / 100 * host.vcpus)):
destination_hosts.append(instance_data)
if (self._meter == 'instance_ram_usage' and
((src_instance_workload + workload) <
self.threshold / 100 * host.memory)):
destination_hosts.append(instance_data)
if self._meter == 'instance_cpu_usage':
usage = src_instance_workload + workload
usage_percent = usage / host.vcpus * 100
limit = self.threshold / 100 * host.vcpus
if usage < limit:
destination_hosts.append(instance_data)
LOG.debug(f"Host {host.hostname} evaluated as destination "
f"for {instance_to_migrate.uuid}. Host usage "
f"for cpu would be {usage_percent}."
f"The threshold is: {self.threshold}. "
f"selected: {usage < limit}"
)
if self._meter == 'instance_ram_usage':
usage = src_instance_workload + workload
usage_percent = usage / host.memory * 100
limit = self.threshold / 100 * host.memory
if usage < limit:
destination_hosts.append(instance_data)
LOG.debug(f"Host {host.hostname} evaluated as destination "
f"for {instance_to_migrate.uuid}. Host usage "
f"for ram would be {usage_percent}."
f"The threshold is: {self.threshold}. "
f"selected: {usage < limit}"
)
return destination_hosts
def group_hosts_by_cpu_or_ram_util(self):
@@ -251,8 +266,10 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
cluster_workload += node_workload
if self._meter == 'instance_cpu_usage':
node_util = node_workload / node.vcpus * 100
host_metric = 'host_cpu_usage_percent'
else:
node_util = node_workload / node.memory * 100
host_metric = 'host_ram_usage_percent'
instance_data = {
'compute_node': node, self._meter: node_util,
@@ -262,6 +279,9 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
overload_hosts.append(instance_data)
else:
nonoverload_hosts.append(instance_data)
LOG.debug(f"Host usage for {node_id}: {host_metric} is "
f"{node_util}. Higher than threshold {self.threshold}: "
f"{node_util >= self.threshold}")
avg_workload = 0
if cluster_size != 0: