The region placement policy is designed to enable the deployment and management resource pools across multiple regions. Note that the current design is only concerned with a single keystone endpoint for multiple regions, interacting with keystone federation is planned for future extension.
The policy is designed to work with clusters of any profile types.
A typical spec for a region placement policy is shown in the following sample:
type: senlin.policy.region_placement
version: 1.0
properties:
regions:
- name: region_1
weight: 100
cap: 50
- name: region_2
weight: 200
cap: 100
In this sample spec, two regions are provided, namely “region_1
” and
“region_2
”. There are “weight” and “cap” attributes associated with them,
both of which are optional.
The “weight
” value is to be interpreted as a relative number. The value
assigned to one region has to be compared to those assigned to other regions
for an assessment. In the sample shown above, region_1
and region_2
are assigned weights with 100 and 200 respectively. This means that among
every 3 nodes creation, one is expected to be scheduled to region_1
and
the other 2 is expected to be scheduled to region_2
. Put it in another
way, the chance for region_2
receiving a node creation request is twice of
that for region_1
.
The “weight
” value has to be a positive integer, if specified. The default
value is 100 for all regions whose weight is omitted.
There are cases where each region has different amounts of resources
provisioned so their capacity for creating and running nodes differ. To deal
with these situations, you can assign a “cap
” value to such a region. This
effectively tells the Senlin engine that a region is not supposed to
accommodate nodes more than the specified number.
When creating a region placement policy, the Senlin engine validates whether the region names given are all known to be available regions by the keystone identity service. Do NOT pass in an invalid region name and hope Senlin can create a region for you.
Later on when the policy is triggered by node creation or deletion, it always validates if the provided regions are still valid and usable.
After a region placement policy is attached to a cluster and enabled, all future node creations (by cluster scaling for example) will trigger an evaluation of the policy.
The region placement policy will favor regions with highest weight value when
selecting a region for nodes to be created. It will guarantee that no more
than the provided cap
number of nodes will be allocated to a specific
region.
Node distribution is calculated not only when new nodes are created and added to a cluster, it is also calculated when existing nodes are to be removed from the cluster. The policy will strive to maintain a distribution close to the one computed from the weight distribution of all regions.
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