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  2. Copy-on-write - Wikipedia

    en.wikipedia.org/wiki/Copy-on-write

    Copy-on-write (COW), also called implicit sharing [1] or shadowing, [2] is a resource-management technique [3] used in programming to manage shared data efficiently. Instead of copying data right away when multiple programs use it, the same data is shared between programs until one tries to modify it.

  3. Comparison of object database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_object...

    Uses a page-based mapping system for fast locking and efficient, distributed, client-side caching. ODABA: 12.3.0 (August 2013) C++, .NET SQL subset, DQL Basic Types, Classes, Multiple inheritance, Weak Typed GPL: Terminology-oriented database: OpenAccess: 2.2 C++: no Proprietary: EDA database: OpenLink Virtuoso (Virtuoso Universal Server) 7.2.7 ...

  4. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    Automated In-Memory Dynamic Caching for SQL Server OLTP applications and databases. Code-free, Dynamic Caching, Relational SAP HANA: SAP SE: 2012 Proprietary SAP HANA, short for 'High Performance Analytic Appliance' is an in-memory, column-oriented, relational database management system written in C, C++: solidDB: Unicom Global 1992 Proprietary

  5. Shadow table - Wikipedia

    en.wikipedia.org/wiki/Shadow_table

    At this point the server has two options: The database can send the whole transactions table. The database can send a shadow table that only contains the transactions involving the user that requested his/her transaction history. The second option is usually more favorable because it saves bandwidth and processing power on the user's end.

  6. Shadow paging - Wikipedia

    en.wikipedia.org/wiki/Shadow_paging

    Shadow paging is similar to the old master–new master batch processing technique used in mainframe database systems. In these systems, the output of each batch run (possibly a day's work) was written to two separate disks or other form of storage medium. One was kept for backup, and the other was used as the starting point for the next day's ...

  7. AppFabric Caching - Wikipedia

    en.wikipedia.org/wiki/AppFabric_Caching

    The cache cluster consists of one or more machines that pool their available physical memory. [2] This pooled memory is presented to cache clients as a single source of caching memory. Objects are stored and accessed using an associated key value. AppFabric Caching features must be installed on each server in the cache cluster. [3]

  8. Database caching - Wikipedia

    en.wikipedia.org/wiki/Database_caching

    Database caching is a process included in the design of computer applications which generate web pages on-demand (dynamically) by accessing backend databases.. When these applications are deployed on multi-tier environments that involve browser-based clients, web application servers and backend databases, [1] [2] middle-tier database caching is used to achieve high scalability and performance.

  9. Cache replacement policies - Wikipedia

    en.wikipedia.org/wiki/Cache_replacement_policies

    LFUDA increments cache age when evicting blocks by setting it to the evicted object's key value, and the cache age is always less than or equal to the minimum key value in the cache. [17] If an object was frequently accessed in the past and becomes unpopular, it will remain in the cache for a long time (preventing newly- or less-popular objects ...