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Amazon Elastic File System
Amazon Elastic File System (Amazon EFS) is a cloud storage service provided by Amazon Web Services (AWS) designed to provide scalable, elastic, concurrent with some restrictions, and encrypted file storage for use with both AWS cloud services and on-premises resources. Amazon EFS is built to be able to grow and shrink automatically as files are added and removed. Amazon EFS supports Network File System (NFS) versions 4.0 and 4.1 (NFSv4) protocol, and control access to files through Portable Operating System Interface (POSIX) permissions. Use cases According to Amazon, use cases for this file system service typically include content repositories, development environments, web server farms, home directories and big data applications. Data consistency Amazon EFS provides open-after-close consistency In deductive logic, a consistent theory is one that does not lead to a logical contradiction. A theory T is consistent if there is no formula \varphi such that both \varph ...
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Amazon
Amazon most often refers to: * Amazon River, in South America * Amazon rainforest, a rainforest covering most of the Amazon basin * Amazon (company), an American multinational technology company * Amazons, a tribe of female warriors in Greek mythology Amazon or Amazone may also refer to: Arts and entertainment Fictional characters * Amazon (Amalgam Comics) * Amazon, an alias of the Marvel supervillain Man-Killer * Amazons (DC Comics), a group of superhuman characters * The Amazon, a '' Diablo II'' character * The Amazon, a '' Pro Wrestling'' character * Amazon (''Dragon's Crown''), a character from the ''Dragon's Crown'' game * '' Kamen Rider Amazon'', title character in the fourth installment of the ''Kamen Rider'' series Film and television * ''The Amazons'' (1917 film), an American silent tragedy film * ''The Amazon'' (film), a 1921 German silent film * '' War Goddess'', also known as ''The Amazons'', a 1973 Italian adventure fantasy drama * ''Amazons'' (1984 f ...
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Content Repository
A content repository or content store is a database of digital content with an associated set of data management, search and access methods allowing application-independent access to the content, rather like a digital library, but with the ability to store and modify content in addition to searching and retrieving. The content repository acts as the storage engine for a larger application such as a content management system or a document management system, which adds a user interface on top of the repository's application programming interface.Content Repository DesignACS Content RepositoryOpenACS.org

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Distributed Data Storage
A distributed data store is a computer network where information is stored on more than one node, often in a replicated fashion. It is usually specifically used to refer to either a distributed database where users store information on a ''number of nodes'', or a computer network in which users store information on a ''number of peer network nodes''. Distributed databases Distributed databases are usually non-relational databases that enable a quick access to data over a large number of nodes. Some distributed databases expose rich query abilities while others are limited to a key-value store semantics. Examples of limited distributed databases are Google's Bigtable, which is much more than a distributed file system or a peer-to-peer network, Amazon's Dynamo and Microsoft Azure Storage. As the ability of arbitrary querying is not as important as the availability, designers of distributed data stores have increased the latter at an expense of consistency. But the high-spe ...
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Cloud Platforms
In meteorology, a cloud is an aerosol consisting of a visible mass of miniature liquid droplets, ice crystals, frozen crystals, or other particulates, particles, suspended in the atmosphere of a planetary body or similar space. Water or various other chemicals may compose the droplets and crystals. On Earth, clouds are formed as a result of saturation of the air when it is cooled to its dew point, or when it gains sufficient moisture (usually in the form of water vapor) from an adjacent source to raise the dew point to the ambient temperature. Clouds are seen in the Earth's homosphere, which includes the troposphere, stratosphere, and mesosphere. Nephology is the science of clouds, which is undertaken in the cloud physics branch of meteorology. The World Meteorological Organization uses two methods of naming clouds in their respective layers of the homosphere, Latin and common name. Genus types in the troposphere, the atmospheric layer closest to Earth's surface, have Latin ...
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Cloud Infrastructure
Cloud computing is "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand," according to ISO. Essential characteristics In 2011, the National Institute of Standards and Technology (NIST) identified five "essential characteristics" for cloud systems. Below are the exact definitions according to NIST: * On-demand self-service: "A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider." * Broad network access: "Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations)." * Resource pooling: " The provider's computing resources are pooled to serve multiple consumers using a multi-ten ...
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Red Hat Storage Server
Red Hat Gluster Storage, formerly Red Hat Storage Server, is a computer storage product from Red Hat. It is based on open source technologies such as GlusterFS and Red Hat Enterprise Linux. The latest release, RHGS 3.5, combines Red Hat Enterprise Linux (RHEL 8 and also RHEL 7) with the latest GlusterFS community release, oVirt, and XFS File System. In April 2014, Red Hat re-branded GlusterFS-based Red Hat Storage Server to "Red Hat Gluster Storage". Description Red Hat Gluster Storage, a scale-out NAS product, uses as its basis GlusterFS, a distributed file-system. Red Hat Gluster Storage also exemplifies software-defined storage (SDS). History In June 2012, ''Red Hat Gluster Storage'' was announced as a commercially supported integration of GlusterFS with Red Hat Enterprise Linux Red Hat Enterprise Linux (RHEL) is a commercial Linux distribution developed by Red Hat. Red Hat Enterprise Linux is released in server versions for x86-64, Power ISA, ARM64, and IBM Z ...
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GlusterFS
Gluster Inc. (formerly known as Z RESEARCH) was a software company that provided an open source platform for scale-out public and private cloud storage. The company was privately funded and headquartered in Sunnyvale, California, with an engineering center in Bangalore, India. Gluster was funded by Nexus Venture Partners and Index Ventures. Gluster was acquired by Red Hat on October 7, 2011. History The name ''Gluster'' comes from the combination of the terms ''GNU'' and ''cluster''. Despite the similarity in names, Gluster is not related to the Lustre file system and does not incorporate any Lustre code. Gluster based its product on ''GlusterFS'', an open-source software-based network-attached filesystem that deploys on commodity hardware. The initial version of GlusterFS was written by Anand Babu Periasamy, Gluster's founder and CTO. In May 2010 Ben Golub became the president and chief executive officer. Red Hat became the primary author and maintainer of the GlusterFS op ...
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Data Consistency
Data inconsistency refers to whether the same data kept at different places do or do not match. Point-in-time consistency Point-in-time consistency is an important property of backup files and a critical objective of software that creates backups. It is also relevant to the design of disk memory systems, specifically relating to what happens when they are unexpectedly shut down. As a relevant backup example, consider a website with a database such as the online encyclopedia Wikipedia, which needs to be operational around the clock, but also must be backed up with regularity to protect against disaster. Portions of Wikipedia are constantly being updated every minute of every day, meanwhile, Wikipedia's database is stored on servers in the form of one or several very large files which require minutes or hours to back up. These large files—as with any database—contain numerous data structures which reference each other by location. For example, some structures are indexes whic ...
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Big Data
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data processing, data-processing application software, software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include Automatic identification and data capture, capturing data, Computer data storage, data storage, data analysis, search, Data sharing, sharing, Data transmission, transfer, Data visualization, visualization, Query language, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: ''volume'', ''variety'', and ''velocity''. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Thus a fourth concept, ''veracity,'' refers to the quality or insightfulness of the data. Without sufficient investm ...
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Home Directory
A home directory is a directory (file systems), file system directory on a multi-user operating system containing computer file, files for a given user (computing), user of the system. The specifics of the home directory (such as its name and location) are defined by the operating system involved; for example, Linux / BSD (Filesystem Hierarchy Standard, FHS) systems use /home/ or /usr/home/, macOS uses /Users/, and Microsoft Windows, Windows systems since Windows Vista use \Users\. Description A user's home directory is intended to contain that user's files; including text documents, music, pictures, videos, etc. It may also include their configuration files of preferred settings for any software they have used there and might have tailored to their liking: web browser bookmark (digital), bookmarks, favorite desktop metaphor, desktop wallpaper (computing), wallpaper and theme (computing), themes, stored passwords to any external services accessed via a given software, etc. The use ...
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Server Farm
A server farm or server cluster is a collection of Server (computing), computer servers, usually maintained by an organization to supply server functionality far beyond the capability of a single machine. They often consist of thousands of computers which require a large amount of power to run and to keep cool. At the optimum performance level, a server farm has enormous financial and environmental costs. They often include backup servers that can take over the functions of primary servers that may fail. Server farms are typically collocated with the network switches and/or router (computing), routers that enable communication between different parts of the cluster and the cluster's users. Server "farmers" typically mount computers, routers, power supplies and related electronics on 19-inch racks in a server room or data center. Applications Server farms are commonly used for cluster computing. Many modern supercomputers comprise giant server farms of high-speed Processor (comput ...
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Development Environment
In software deployment, an environment or tier is a computer system or set of systems in which a computer program or software component is deployed and executed. In simple cases, such as developing and immediately executing a program on the same machine, there may be a single environment, but in industrial use, the ''development'' environment (where changes are originally made) and ''production'' environment (what end users use) are separated, often with several stages in between. This structured release management process allows phased deployment (rollout), testing, and rollback in case of problems. Environments may vary significantly in size: the development environment is typically an individual developer's workstation, while the production environment may be a network of many geographically distributed machines in data centers, or virtual machines in cloud computing. Code, data, and configuration may be deployed in parallel, and need not connect to the corresponding tier—for ...
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