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- Moved RST guide to the arch-design folder - Deleted XML files - Updated scripts Change-Id: Id0e38a9cada9dd75cb9c8f3bd2d88ce2f4fd3eac Implements: blueprint archguide-mitaka-rst
62 lines
2.2 KiB
ReStructuredText
62 lines
2.2 KiB
ReStructuredText
===============
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Storage focused
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===============
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.. toctree::
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:maxdepth: 2
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storage-focus-technical-considerations.rst
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storage-focus-operational-considerations.rst
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storage-focus-architecture.rst
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storage-focus-prescriptive-examples.rst
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Cloud storage is a model of data storage that stores digital data in
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logical pools and physical storage that spans across multiple servers
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and locations. Cloud storage commonly refers to a hosted object storage
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service, however the term also includes other types of data storage that
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are available as a service, for example block storage.
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Cloud storage runs on virtualized infrastructure and resembles broader
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cloud computing in terms of accessible interfaces, elasticity,
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scalability, multi-tenancy, and metered resources. You can use cloud
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storage services from an off-premises service or deploy on-premises.
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Cloud storage consists of many distributed, synonymous resources, which
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are often referred to as integrated storage clouds. Cloud storage is
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highly fault tolerant through redundancy and the distribution of data.
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It is highly durable through the creation of versioned copies, and can
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be consistent with regard to data replicas.
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At large scale, management of data operations is a resource intensive
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process for an organization. Hierarchical storage management (HSM)
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systems and data grids help annotate and report a baseline data
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valuation to make intelligent decisions and automate data decisions. HSM
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enables automated tiering and movement, as well as orchestration of data
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operations. A data grid is an architecture, or set of services evolving
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technology, that brings together sets of services enabling users to
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manage large data sets.
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Example applications deployed with cloud storage characteristics:
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* Active archive, backups and hierarchical storage management.
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* General content storage and synchronization. An example of this is
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private dropbox.
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* Data analytics with parallel file systems.
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* Unstructured data store for services. For example, social media
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back-end storage.
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* Persistent block storage.
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* Operating system and application image store.
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* Media streaming.
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* Databases.
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* Content distribution.
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* Cloud storage peering.
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