Merge "Documentation update for get-goal-from-strategy"

This commit is contained in:
Jenkins
2016-05-11 15:32:28 +00:00
committed by Gerrit Code Review
12 changed files with 262 additions and 92 deletions

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@@ -14,6 +14,19 @@
# See the License for the specific language governing permissions and
# limitations under the License.
"""
A :ref:`Strategy <strategy_definition>` is an algorithm implementation which is
able to find a :ref:`Solution <solution_definition>` for a given
:ref:`Goal <goal_definition>`.
There may be several potential strategies which are able to achieve the same
:ref:`Goal <goal_definition>`. This is why it is possible to configure which
specific :ref:`Strategy <strategy_definition>` should be used for each goal.
Some strategies may provide better optimization results but may take more time
to find an optimal :ref:`Solution <solution_definition>`.
"""
from oslo_config import cfg
import pecan

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@@ -169,6 +169,29 @@ class DummyBaseStrategy(BaseStrategy):
return "Dummy goal"
@six.add_metaclass(abc.ABCMeta)
class UnclassifiedStrategy(BaseStrategy):
"""This base class is used to ease the development of new strategies
The goal defined within this strategy can be used to simplify the
documentation explaining how to implement a new strategy plugin by
ommitting the need for the strategy developer to define a goal straight
away.
"""
@classmethod
def get_goal_name(cls):
return "UNCLASSIFIED"
@classmethod
def get_goal_display_name(cls):
return _("Unclassified")
@classmethod
def get_translatable_goal_display_name(cls):
return "Unclassified"
@six.add_metaclass(abc.ABCMeta)
class ServerConsolidationBaseStrategy(BaseStrategy):

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@@ -46,10 +46,11 @@ class VMWorkloadConsolidation(base.ServerConsolidationBaseStrategy):
This strategy produces a solution resulting in more efficient
utilization of cluster resources using following four phases:
* Offload phase - handling over-utilized resources
* Consolidation phase - handling under-utilized resources
* Solution optimization - reducing number of migrations
* Deactivation of unused hypervisors
* Offload phase - handling over-utilized resources
* Consolidation phase - handling under-utilized resources
* Solution optimization - reducing number of migrations
* Deactivation of unused hypervisors
A capacity coefficients (cc) might be used to adjust optimization
thresholds. Different resources may require different coefficient
@@ -58,7 +59,7 @@ class VMWorkloadConsolidation(base.ServerConsolidationBaseStrategy):
If the cc equals 1 the full resource capacity may be used, cc
values lower than 1 will lead to resource under utilization and
values higher than 1 will lead to resource overbooking.
e.g. If targeted utilization is 80% of hypervisor capacity,
e.g. If targeted utilization is 80 percent of hypervisor capacity,
the coefficient in the consolidation phase will be 0.8, but
may any lower value in the offloading phase. The lower it gets
the cluster will appear more released (distributed) for the
@@ -397,12 +398,13 @@ class VMWorkloadConsolidation(base.ServerConsolidationBaseStrategy):
This is done by eliminating unnecessary or circular set of migrations
which can be replaced by a more efficient solution.
e.g.:
* A->B, B->C => replace migrations A->B, B->C with
a single migration A->C as both solution result in
VM running on hypervisor C which can be achieved with
one migration instead of two.
* A->B, B->A => remove A->B and B->A as they do not result
in a new VM placement.
* A->B, B->C => replace migrations A->B, B->C with
a single migration A->C as both solution result in
VM running on hypervisor C which can be achieved with
one migration instead of two.
* A->B, B->A => remove A->B and B->A as they do not result
in a new VM placement.
:param model: model_root object
"""
@@ -502,10 +504,11 @@ class VMWorkloadConsolidation(base.ServerConsolidationBaseStrategy):
This strategy produces a solution resulting in more
efficient utilization of cluster resources using following
four phases:
* Offload phase - handling over-utilized resources
* Consolidation phase - handling under-utilized resources
* Solution optimization - reducing number of migrations
* Deactivation of unused hypervisors
* Offload phase - handling over-utilized resources
* Consolidation phase - handling under-utilized resources
* Solution optimization - reducing number of migrations
* Deactivation of unused hypervisors
:param original_model: root_model object
"""