openstack/openstack-manuals
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Clean up of section_prescriptive_examples_storage_focus.xml

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Minor edits to the prescriptive examples section of the storage focused chapter

Change-Id: I20cb3298638ce7a731a3a3fea39bba5c44d73a34
Implements: blueprint arch-guide
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Suyog Sainkar 2015-08-14 16:07:48 +10:00
parent 90f73d08b6
commit 2db522feb7
1 changed files with 17 additions and 16 deletions
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doc/arch-design/storage_focus/section_prescriptive_examples_storage_focus.xml
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@ -6,9 +6,9 @@
xml:id="prescriptive-example-storage-focus">
<?dbhtml stop-chunking?>
<title>Prescriptive examples</title>
<para>Storage-focused architecture highly depends on the
specific use case. This section discusses three
specific example use cases:</para>
<para>Storage-focused architecture depends on
specific use cases. This section discusses three
example use cases:</para>
<itemizedlist>
<listitem>
<para>
@ -38,9 +38,9 @@
</imageobject>
</mediaobject>
</para>
<para>The example REST interface, presented as a traditional Object store running
on traditional spindles, does not require a high performance
caching tier.</para>
<para>The example REST interface, presented as a traditional Object
store running on traditional spindles, does not require a high
performance caching tier.</para>
<para>This example uses the following components:</para>
<para>Network:</para>
<itemizedlist>
@ -80,18 +80,18 @@
<section xml:id="compute-analytics-with-sahara">
<title>Compute analytics with Data processing service</title>
<para>Analytics of large data sets are highly dependent on the performance
<para>Analytics of large data sets are dependent on the performance
of the storage system. Clouds using storage systems such as
Hadoop Distributed File System (HDFS) have inefficiencies which can
cause performance issues.
</para>
<para>One potential solution to this problem is the implementation of storage
systems designed for performance. Parallel file systems have previously
filled this need in the HPC space and are suitable
for large scale performance-orientated systems.</para>
<para>One potential solution to this problem is the implementation of
storage systems designed for performance. Parallel file systems have
previously filled this need in the HPC space and are suitable for large
scale performance-orientated systems.</para>
<para>OpenStack has integration with Hadoop to manage the Hadoop cluster
within the cloud. This diagram shows an OpenStack store with a high
performance requirement:
within the cloud. The following diagram shows an OpenStack store with
a high performance requirement:
<mediaobject>
<imageobject>
<imagedata contentwidth="4in"
@ -123,8 +123,9 @@
or Gluster.</para>
<para>This system can provide additional performance. For example,
in the database example below, a portion of the SSD pool can act
as a block device to the Database server. In the high performance analytics
example, the inline SSD cache layer accelerates the REST interface.</para>
as a block device to the Database server. In the high performance
analytics example, the inline SSD cache layer accelerates the REST
interface.</para>
<mediaobject>
<imageobject>
<imagedata contentwidth="4in"
@ -182,7 +183,7 @@
</listitem>
</itemizedlist>
<para>Using an SSD cache layer, you can present block devices
directly to Hypervisors or instances. The REST interface can
directly to hypervisors or instances. The REST interface can
also use the SSD cache systems as an inline cache.
</para>
</section>