distributed computing

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Related to distributed data processing: centralized data processing

distributed computing

[di‚strib·yəd·əd kəm′pyüd·iŋ]
(computer science)
The use of multiple network-connected computers for solving a problem or for information processing.

distributed computing

(1) The use of multiple computers networked throughout a geographical area. See grid computing.

(2) The use of multiple computers in an enterprise rather than one centralized system. This use of the term was coined in the late 1970s when minicomputers were installed in departments throughout a company instead of deploying terminals to a mainframe.
References in periodicals archive ?
With the DAPDNA-EP100 and the EP-CLM1 embedded on the system, developers of image processing equipment, image testers and machine vision equipment can build high-speed and efficient distributed data processing systems.
Applications for WilTel's ATM CNS include centralized or remote data storage, disaster recovery, distributed data processing, performance improvement of peripheral devices and geographic consolidation of operations.
The deployment of the SGI/YottaYotta data grid solution validates that distributed data processing across geography is now a viable option as opposed to duplicating compute and storage infrastructure," said Wayne Karpoff, chief technology officer and co-founder of YottaYotta.
He had the opportunity to lead the development of several new markets, such as distributed data processing, voice & data network integration with Northern Telecom and HP's early ventures in the consumer electronics markets.
Knight was Marketing Communications Manager for Four-Phase Systems, later Motorola Computer Systems, a $300-million vertically integrated maker of distributed data processing systems for large enterprises.
High-volume applications like central and remote data storage (including DASD -- Direct Access Storage Device -- support), disaster recovery, LAN (Local Area Network) integration, and distributed data processing call for the host-to-host, host-to-peripheral and host-to-LAN functionality that NSC's channel networking equipment provides.
Novell and Magnitude 3D work great together," said Tony Gilfoy, manager, distributed data processing of ICMA Retirement Corp.
Applications include centralized or remote data storage, disaster recovery, LAN integration, distributed data processing, performance improvement of peripheral devices and geographic consolidation of operations.
There are so many business problems that Magnitude 3D can solve that it's hard to list them here," said Tony Gilfoy, Manager, Distributed Data Processing of ICMA Retirement Corp.

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