Clean up of section_prescriptive_examples_storage_focus.xml

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

Change-Id: I20cb3298638ce7a731a3a3fea39bba5c44d73a34
Implements: blueprint arch-guide

doc/arch-design/storage_focus/section_prescriptive_examples_storage_focus.xml

@@ -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
+    <para>Storage-focused architecture depends on
-        specific use case. This section discusses three
+    specific use cases. This section discusses three
-        specific example use cases:</para>
+          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
+    <para>The example REST interface, presented as a traditional Object
-        on traditional spindles, does not require a high performance
+    store running on traditional spindles, does not require a high
-        caching tier.</para>
+    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
+  <para>One potential solution to this problem is the implementation of
-      systems designed for performance. Parallel file systems have previously
+  storage systems designed for performance. Parallel file systems have
-      filled this need in the HPC space and are suitable
+  previously filled this need in the HPC space and are suitable for large
-      for large scale performance-orientated systems.</para>
+  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
+      within the cloud. The following diagram shows an OpenStack store with
-      performance requirement:
+      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
+      as a block device to the Database server. In the high performance
-      example, the inline SSD cache layer accelerates the REST interface.</para>
+      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>