The processing performed in one computer or in a cluster of coupled computers in a single location. Access to the computer is via "dumb terminals," which send only input and receive output or "smart terminals," which add screen formatting. All data processing is performed in the central computer.
Centralized processing evolved from the first computers in the 1950s, which were stand-alone with all input and output devices in the same room. Starting in the 1960s, terminals were added throughout a company's headquarters and branch offices, and each terminal was wired into the central machine, whether local or via a remote communications method.
Centralized data processing is a Computer data processing architecture where data processing support is provided by one or a cluster of computers, generally a large. dedicated computers, located in a central data processing facility. In a centralized architecture, each person is provided with a local terminal that is connected by a communications
In the CPU, Central Processing Unit.
R. Edwin Berry has written: 'Centralized processing for systems of libraries' -- subject(s): Centralized processing (Libraries)
Centralized processing makes it easier to maintain security and standards in addition to making duplication less likely. The biggest disadvantage of centralized processing is that if the system goes down, then all systems may be inaccessible.
Some disadvantages of centralized data processing include the risk of a single point of failure, as the entire system can be compromised if the centralized data processing center experiences a technical issue or outage. Additionally, centralized data processing may lead to slower response times, as data has to be transmitted back and forth between the center and the various endpoints. There is also concern about data security and privacy, as centralizing data in one location can increase the risk of unauthorized access and breaches.
The human nervous system is centralized at the brain.
Donald D. Hendricks has written: 'Comparative costs of book processing in a processing center and in five individual libraries' -- subject(s): Library finance, Technical services (Libraries), Costs 'Centralized processing and regional library development' -- subject(s): Centralized processing (Libraries), Midwestern Regional Library System
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Advantages of centralized data processing include easier data management, real-time updates across the organization, and better security through centralized control. Disadvantages may include potential single points of failure, slower processing times due to network traffic, and higher costs for maintaining and scaling centralized infrastructure.
Don Sherman has written: 'California State Library: Processing Center design and specifications' -- subject(s): Centralized processing (Libraries), Data processing, Library science
Centralized Data Processing (CDP) uses Centralised computers, processing, data, control, support. The advantages are Economy for equipment and personnel, Lack of duplication, Ease in enforcing standards, security. In Distributed Data Processing (DDP)Computers are dispersed throughout organisation. Which allows greater flexibility in structure, More redundancy and More autonomy. Hi, Centralized data processing is a Computer data processing architecture where data processing support is provided by one or a cluster of computers, generally a large. dedicated computers, located in a central data processing facility. In a centralized architecture, each person is provided with a local terminal that is connected by a communications facility to the central data processing facility. A fully centralized data processing has following features: 1. Centralized computers 2. Centralized processing 3. Centralized Data 4. Centralized Control 5. Centralized Staff Support A Distributed data processing facility is one in which computers, usually smaller computers, are dispersed throughout the organization. The objective of such disperse is to process information in a way that is most effective based on operational. Therefore, DDP (Distributed Data Processing) features: 1. A collection of terminals link together by some kind of communication link and has no main central computer or not fully (minimal) depend on central computer. 2. Processing of information is happening on each terminal and send results to a main server for store and retrieval purposes. 3. Data may duplicate as data may store in locally or in remote server. 4. Local computer operator can control the machine in his premises. 5. Separate staff will maintain central computer (if there any) where other terminals may control by one or few other members. Hope this will help you! (H.W Thushara Indika from Bandarawela - Sri Lanka)
DISTRIBUTED PROCESSING: refers to LANDs designed so that a single program can run simultaneously at different sites.PARALLEL PROCESSING: is the simultaneous use of more than one CPU to execute a program. It allows programs to run faster because there are more engines (CPUs) running it.CENTRALISED PROCESSING: is performed in one computer or in a cluster of coupled computers in a single location. All data processing is performed in the central computer.
centralized planning