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CPU Core Assignment - Added a Note in the Cloud Platform Node Management Guide

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Fixed merge conflict
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Signed-off-by: Juanita-Balaraj <juanita.balaraj@windriver.com>
Change-Id: I336e8c5e10686b153ff62539c73bede1c1ba0a22
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Juanita-Balaraj 2021-07-08 11:39:25 -04:00
parent 89ed157c90
commit 298f0fd43d
1 changed files with 6 additions and 8 deletions
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14
doc/source/node_management/kubernetes/configuring_cpu_core_assignments/configuring-cpu-core-assignments.rst
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@ -9,14 +9,6 @@ Configure CPU Core Assignments
You can improve the performance and capacity of specific functions by assigning You can improve the performance and capacity of specific functions by assigning
them more CPU cores from the Horizon Web interface. them more CPU cores from the Horizon Web interface.
.. note::
For better Horizon Web interface response time when installing an
|AIO-SX| or |AIO-DX|, it is recommended to configure at least 4 platform
cores, in order to reach a performance approximately of 6 platform
cores. As CPUs are shared, ensure that you have enough cores available
for the application, defined by the total number of cores minus the cores
reserved for the platform, vSwitch, isolated, and shared cores.
.. rubric:: |proc| .. rubric:: |proc|
#. Lock the host to make changes. #. Lock the host to make changes.
@ -73,6 +65,12 @@ them more CPU cores from the Horizon Web interface.
available for the containers \(hosted applications\) that require available for the containers \(hosted applications\) that require
high-performance IRQ servicing. high-performance IRQ servicing.
.. note::
On an |AIO-SX| or |AIO-DX| deployment, if you plan on running the
|prefix|-openstack application, then for adequate Horizon Web
Interface and CLI performance, at least 4 platform cores are
required; 6 platform cores are recommended.
**Isolated** **Isolated**
You can isolate a core from the host process scheduler by specifying You can isolate a core from the host process scheduler by specifying
the Isolated function. This allows you to customize Kubernetes CPU the Isolated function. This allows you to customize Kubernetes CPU