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UID-marking is a set of data for assets that is globally unique and unambiguous. The technology used to mark an item is 2D Data Matrix ECC 200 Symbol. UID marking can be used to ensure data integrity and data quality throughout an item's lifecycle; it also supports multi-faceted business applications.
A unique identifier (UID) is an identifier that is guaranteed to be unique among all identifiers used for those objects and for a specific purpose. [1] The concept was formalized early in the development of computer science and information systems. In general, it was associated with an atomic data type.
A Universally Unique Identifier (UUID) is a 128-bit label used to uniquely identify objects in computer systems. The term Globally Unique Identifier (GUID) is also used, mostly in Microsoft systems.
uID Center, a nonprofit organization in Tokyo, Japan, responsible for the Ucode system for uniquely identifying real-world objects electronically German for: "UID = Umsatzsteuer Identifikation" (English: VAT identification number , VAT = value-added tax)
management and automation software, enabling an administrator to provision, control, and manage all software-defined data-center components [8] A software-defined data center differs from a private cloud, since a private cloud only has to offer virtual-machine self-service, [9] beneath which it could use traditional provisioning and management ...
A data center is a pool of resources (computational, storage, network) interconnected using a communication network. [ 1 ] [ 2 ] A data center network (DCN) holds a pivotal role in a data center , as it interconnects all of the data center resources together.
Since 2005, MIL-STD-130 is most noted for the IUID data matrix, which is a square, pixelated barcode that when scanned connects the DoD user immediately to the record in the DoD UID Database. The UII data matrix does not contain information in itself. The construction rules exist to achieve the desired goal of a truly unique number for all time.
Data-centric computing is an approach that merges innovative hardware and software to treat data, not applications, as the permanent source of value. [8] Data-centric computing aims to rethink both hardware and software to extract as much value as possible from existing and new data sources.