openstack-manuals/doc/arch-design/compute_focus/section_prescriptive_examples_compute_focus.xml
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<?xml version="1.0" encoding="UTF-8"?>
<section xmlns="http://docbook.org/ns/docbook"
xmlns:xi="http://www.w3.org/2001/XInclude"
xmlns:xlink="http://www.w3.org/1999/xlink"
version="5.0"
xml:id="prescriptive-example-compute-focus">
<?dbhtml stop-chunking?>
<title>Prescriptive examples</title>
<para>The Conseil Européen pour la Recherche Nucléaire (CERN),
also known as the European Organization for, Nuclear Research
provides particle accelerators and other infrastructure for
high-energy physics research.</para>
<para>As of 2011 CERN operated these two compute centers in Europe
with plans to add a third.</para>
<informaltable rules="all">
<col width="40%" />
<col width="60%" />
<thead>
<tr><th>Data center</th><th>Approximate capacity</th></tr>
</thead>
<tbody>
<tr>
<td>Geneva, Switzerland</td>
<td>
<itemizedlist>
<listitem><para>3.5 Mega Watts</para></listitem>
<listitem><para>91000 cores</para></listitem>
<listitem><para>120 PB HDD</para></listitem>
<listitem><para>100 PB Tape</para></listitem>
<listitem><para>310 TB Memory</para></listitem>
</itemizedlist>
</td>
</tr>
<tr>
<td>Budapest, Hungary</td>
<td>
<itemizedlist>
<listitem><para>2.5 Mega Watts</para></listitem>
<listitem><para>20000 cores</para></listitem>
<listitem><para>6 PB HDD</para></listitem>
</itemizedlist>
</td>
</tr>
</tbody>
</informaltable>
<para>To support a growing number of compute heavy users of
experiments related to the Large Hadron Collider (LHC) CERN
ultimately elected to deploy an OpenStack cloud using
Scientific Linux and RDO. This effort aimed to simplify the
management of the center's compute resources with a view to
doubling compute capacity through the addition of an
additional data center in 2013 while maintaining the same
levels of compute staff.</para>
<para>The CERN solution uses <glossterm baseform="cell">cells</glossterm>
for segregation of compute
resources and to transparently scale between different data
centers. This decision meant trading off support for security
groups and live migration. In addition some details like
flavors needed to be manually replicated across cells. In
spite of these drawbacks cells were determined to provide the
required scale while exposing a single public API endpoint to
users.</para>
<para>A compute cell was created for each of the two original data
centers and a third was created when a new data center was
added in 2013. Each cell contains three availability zones to
further segregate compute resources and at least three
RabbitMQ message brokers configured to be clustered with
mirrored queues for high availability.</para>
<para>The API cell, which resides behind a HAProxy load balancer,
is located in the data center in Switzerland and directs API
calls to compute cells using a customized variation of the
cell scheduler. The customizations allow certain workloads to
be directed to a specific data center or "all" data centers
with cell selection determined by cell RAM availability in the
latter case.</para>
<mediaobject>
<imageobject>
<imagedata contentwidth="4in" fileref="../images/Generic_CERN_Example.png"/>
</imageobject>
</mediaobject>
<para>There is also some customization of the filter scheduler
that handles placement within the cells:</para>
<itemizedlist>
<listitem><para>ImagePropertiesFilter - To provide special handling
depending on the guest operating system in use
(Linux-based or Windows-based).</para>
</listitem>
<listitem><para>ProjectsToAggregateFilter - To provide special
handling depending on the project the instance is
associated with.</para>
</listitem>
<listitem><para>default_schedule_zones - Allows the selection of
multiple default availability zones, rather than a
single default.
</para></listitem>
</itemizedlist>
<para>The MySQL database server in each cell is managed by a
central database team and configured in an active/passive
configuration with a NetApp storage back end. Backups are
performed ever 6 hours.</para>
<section xml:id="network-architecture">
<title>Network architecture</title>
<para>To integrate with existing CERN networking infrastructure
customizations were made to legacy networking (nova-network). This was in the
form of a driver to integrate with CERN's existing database
for tracking MAC and IP address assignments.</para>
<para>The driver facilitates selection of a MAC address and IP for
new instances based on the compute node the scheduler places
the instance on</para>
<para>The driver considers the compute node that the scheduler
placed an instance on and then selects a MAC address and IP
from the pre-registered list associated with that node in the
database. The database is then updated to reflect the instance
the addresses were assigned to.</para></section>
<section xml:id="storage-architecture">
<title>Storage architecture</title>
<para>The OpenStack Image Service is deployed in the API cell and
configured to expose version 1 (V1) of the API. As a result
the image registry is also required. The storage back end in
use is a 3 PB Ceph cluster.</para>
<para>A small set of "golden" Scientific Linux 5 and 6 images are
maintained which applications can in turn be placed on using
orchestration tools. Puppet is used for instance configuration
management and customization but Orchestration deployment is
expected.</para></section>
<section xml:id="monitoring">
<title>Monitoring</title>
<para>Although direct billing is not required, the Telemetry module
is used to perform metering for the purposes of adjusting
project quotas. A sharded, replicated, MongoDB back end is
used. To spread API load, instances of the nova-api service
were deployed within the child cells for Telemetry to query
against. This also meant that some supporting services
including keystone, glance-api and glance-registry needed to
also be configured in the child cells.</para>
<mediaobject>
<imageobject>
<imagedata contentwidth="4in"
fileref="../images/Generic_CERN_Architecture.png"/>
</imageobject>
</mediaobject>
<para>
Additional monitoring tools in use include <link
xlink:href="http://flume.apache.org/">Flume</link>, <link
xlink:href="http://www.elasticsearch.org/">Elastic
Search</link>, <link
xlink:href="http://www.elasticsearch.org/overview/kibana/">Kibana</link>,
and the CERN developed <link
xlink:href="http://lemon.web.cern.ch/lemon/index.shtml">Lemon</link>
project.
</para>
</section>
<section xml:id="references-cern-resources"><title>References</title>
<para>The authors of the Architecture Design Guide would like to
thank CERN for publicly documenting their OpenStack deployment
in these resources, which formed the basis for this
chapter:</para>
<itemizedlist>
<listitem><para><link xlink:href="http://openstack-in-production.blogspot.fr">http://openstack-in-production.blogspot.fr</link>
</para></listitem>
<listitem><para>
<link
xlink:href="http://www.openstack.org/assets/presentation-media/Deep-Dive-into-the-CERN-Cloud-Infrastructure.pdf">Deep
dive into the CERN Cloud Infrastructure</link></para>
</listitem>
</itemizedlist></section>
</section>