openstack-manuals/doc/arch-design/ch_storage_focus.xml
Andreas Jaeger bfe149fcd2 Arch Design: Move introductory sections up
Move the introductory sections one level up, removing the separate
section for them. This reads much nicer in HTML now.
There's also no need to name the first paragraphs of a chapter
"Introduction", this is implied.

Change-Id: Ife4275807561dae2ca57dc71b7602240efa94663
2014-08-03 19:59:53 +02:00

80 lines
3.6 KiB
XML

<?xml version="1.0" encoding="UTF-8"?>
<chapter 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="storage_focus">
<title>Storage focused</title>
<para>Cloud storage is a model of data storage where digital data
is stored in logical pools and physical storage that spans
across multiple servers and locations. Cloud storage commonly
refers to a hosted object storage service, however the term
has extended to include other types of data storage that are
available as a service, for example block storage.</para>
<para>Cloud storage is based on virtualized infrastructure and
resembles broader cloud computing in terms of accessible
interfaces, elasticity, scalability, multi-tenancy, and
metered resources. Cloud storage services can be utilized from
an off-premises service or deployed on-premises.</para>
<para>Cloud storage is made up of many distributed, yet still
synonymous resources, and is often referred to as integrated
storage clouds. Cloud storage is highly fault tolerant through
redundancy and the distribution of data. It is highly durable
through the creation of versioned copies, and can be
consistent with regard to data replicas.</para>
<para>At a certain scale, management of data operations can become
a resource intensive process to an organization. Hierarchical
storage management (HSM) systems and data grids can help
annotate and report a baseline data valuation to make
intelligent decisions and automate data decisions. HSM allows
for automating tiering and movement, as well as orchestration
of data operations. A data grid is an architecture, or set of
services evolving technology, that brings together sets of
services allowing users to manage large data sets.</para>
<para>Examples of applications that can be deployed with cloud
storage characteristics are:</para>
<itemizedlist>
<listitem>
<para>Active archive, backups and hierarchical storage
management.</para>
</listitem>
<listitem>
<para>General content storage and synchronization. An
example of this is private dropbox.</para>
</listitem>
<listitem>
<para>Data analytics with parallel file systems.</para>
</listitem>
<listitem>
<para>Unstructured data store for services. For example,
social media back-end storage.</para>
</listitem>
<listitem>
<para>Persistent block storage.</para>
</listitem>
<listitem>
<para>Operating system and application image store.</para>
</listitem>
<listitem>
<para>Media streaming.</para>
</listitem>
<listitem>
<para>Databases.</para>
</listitem>
<listitem>
<para>Content distribution.</para>
</listitem>
<listitem>
<para>Cloud storage peering.</para>
</listitem>
</itemizedlist>
<xi:include href="storage_focus/section_user_requirements_storage_focus.xml"/>
<xi:include href="storage_focus/section_tech_considerations_storage_focus.xml"/>
<xi:include href="storage_focus/section_operational_considerations_storage_focus.xml"/>
<xi:include href="storage_focus/section_architecture_storage_focus.xml"/>
<xi:include href="storage_focus/section_prescriptive_examples_storage_focus.xml"/>
</chapter>