Merge "Clarify flavor and overcommit constraints"

This commit is contained in:
Jenkins 2016-03-24 03:58:57 +00:00 committed by Gerrit Code Review
commit f5ed850bae
4 changed files with 22 additions and 0 deletions

View File

@ -568,6 +568,12 @@
the instances reaches 72 GB (such as nine instances, in the case where
each instance has 8 GB of RAM).</para>
<note>
<para>Regardless of the overcommit ratio, an instance can not be placed
on any physical node with fewer raw (pre-overcommit) resources than
the instance flavor requires.</para>
</note>
<para>You must select the appropriate CPU and RAM allocation ratio for
your particular use case.</para>
</section>

View File

@ -186,6 +186,12 @@
</listitem>
</itemizedlist>
<note>
<para>Regardless of the overcommit ratio, an instance can not be placed
on any physical node with fewer raw (pre-overcommit) resources than
instance flavor requires.</para>
</note>
<para>However, you need more than the core count alone to estimate the
load that the API services, database servers, and queue servers are likely
to encounter. You must also consider the usage patterns of your

View File

@ -296,6 +296,11 @@ allocates instances to that node until the sum of the RAM associated
with the instances reaches 72 GB (such as nine instances, in the case
where each instance has 8 GB of RAM).
.. note::
Regardless of the overcommit ratio, an instance can not be placed
on any physical node with fewer raw (pre-overcommit) resources than
the instance flavor requires.
You must select the appropriate CPU and RAM allocation ratio for your
particular use case.

View File

@ -87,6 +87,11 @@ and require 80 TB of storage for ``/var/lib/nova/instances``:
- Default CPU overcommit ratio (``cpu_allocation_ratio`` in nova.conf)
of 16:1.
.. note::
Regardless of the overcommit ratio, an instance can not be placed
on any physical node with fewer raw (pre-overcommit) resources than
instance flavor requires.
However, you need more than the core count alone to estimate the load
that the API services, database servers, and queue servers are likely to
encounter. You must also consider the usage patterns of your cloud.