就個人目前所知，L版有3種方式配置cpu的超配比。當然有什麼錯誤之處，還請見諒！
a、AggregateCoreFilter的cpu_allocation_ratio metadata key
使用：nova aggregate-set-metadata 1 cpu_allocation_ratio=2.0
b、compute node的配置文件nova.conf支持cpu_allocation_ratio參數設置
c、原本的controller node nova.conf的cpu_allocation_ratio參數設置
優先級：a > b > c
爲什麼是這樣的優先級呢，下面看代碼：
class AggregateCoreFilter(BaseCoreFilter):
"""AggregateCoreFilter with per-aggregate CPU subscription flag.
Fall back to global cpu_allocation_ratio if no per-aggregate setting found.
"""
def _get_cpu_allocation_ratio(self, host_state, filter_properties):
import pdb;pdb.set_trace()
aggregate_vals = utils.aggregate_values_from_key(
host_state,
'cpu_allocation_ratio')
try:
ratio = utils.validate_num_values(
aggregate_vals, host_state.cpu_allocation_ratio, cast_to=float) # host_state是從nova數據庫中compute_node表來的
except ValueError as e:
LOG.warning(_LW("Could not decode cpu_allocation_ratio: '%s'"), e)
ratio = host_state.cpu_allocation_ratio
return ratio
# 如果沒設置Aggregation主機聚合的cpu_allocation_ratio metadata key，返回空set
def aggregate_values_from_key(host_state, key_name):
"""Returns a set of values based on a metadata key for a specific host."""
aggrlist = host_state.aggregates
return {aggr.metadata[key_name]
for aggr in aggrlist
if key_name in aggr.metadata
}
def validate_num_values(vals, default=None, cast_to=int, based_on=min):
"""Returns a correctly casted value based on a set of values.
This method is useful to work with per-aggregate filters, It takes
a set of values then return the 'based_on'{min/max} converted to
'cast_to' of the set or the default value.
Note: The cast implies a possible ValueError
"""
num_values = len(vals) # 如果沒設置Aggregation主機聚合的cpu_allocation_ratio metadata key
if num_values == 0:
return default # 還是調用host_state.cpu_allocation_ratio
if num_values > 1:
LOG.info(_LI("%(num_values)d values found, "
"of which the minimum value will be used."),
{'num_values': num_values})
return based_on([cast_to(val) for val in vals]) # 如果Aggregation主機聚合設置了多個cpu_allocation_ratio metadata key，默認取最小的這裏還有個疑問，host_state中的cpu_allocation_ratio是如何更新的呢？
看個compute node支持獨立設置cpu_allocation_ratio的bp
Add cpu_allocation_ratio and ram_allocation_ratio to ComputeNode: https://review.openstack.org/#/c/215471/9
Update ComputeNode values with allocation ratios in the RT：https://review.openstack.org/#/c/216362/ （compute端的，通過resource_tracker定時任務實現）
resource_tracker.py又是什麼？
它的作用就是Keep the ComputeNode model updated with usage，也是compute節點的一個定時任務。bp實現：https://review.openstack.org/#/c/9402/
Add cpu_allocation_ratio and ram_allocation_ratio to ComputeNode bp實現中的 nova/objects/compute_node.py（重點部分）
@staticmethod def _from_db_object(context, compute, db_compute): special_cases = set([ 'stats', 'supported_hv_specs', 'host', 'pci_device_pools', ]) fields = set(compute.fields) - special_cases for key in fields: value = db_compute[key] # NOTE(sbauza): Since all compute nodes don't possibly run the # latest RT code updating allocation ratios, we need to provide # a backwards compatible way of hydrating them. # As we want to care about our operators and since we don't want to # ask them to change their configuration files before upgrading, we # prefer to hardcode the default values for the ratios here until # the next release (Mitaka) where the opt default values will be # restored for both cpu (16.0) and ram (1.5) allocation ratios. # TODO(sbauza): Remove that in the next major version bump where # we break compatibilility with old Kilo computes if key == 'cpu_allocation_ratio' or key == 'ram_allocation_ratio': if value == 0.0: # Operator has not yet provided a new value for that ratio # on the compute node value = None if value is None: # ResourceTracker is not updating the value (old node) # or the compute node is updated but the default value has # not been changed value = getattr(CONF, key) # 如果是0.0，cpu_allocation_ratio將會controller節點的cpu_allocation_ratio爲準 if value == 0.0 and key == 'cpu_allocation_ratio': # It's not specified either on the controller value = 16.0 if value == 0.0 and key == 'ram_allocation_ratio': # It's not specified either on the controller value = 1.5 compute[key] = value
nova-compute Periodic tasks 機制 http://blog.csdn.net/gj19890923/article/details/50583435
Nova object 模型介紹 http://blog.csdn.net/tan198707/article/details/16994363