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.
Distributed databases offer advantages such as improved scalability, increased availability, and better fault tolerance compared to centralized databases. They also provide better performance by reducing network latency and enabling data to be processed closer to where it is needed. Additionally, distributed databases can offer better data security by replicating data across multiple locations.
is Distributed operating system a centralized OS
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what are the disadvantages of centralized database system
In the CPU, Central Processing Unit.
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Q1: Please give real life examples of one centralized system and one distributed system. Please explain why they are centralized or distributed systems.
R. Edwin Berry has written: 'Centralized processing for systems of libraries' -- subject(s): Centralized processing (Libraries)
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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)
Muhammad Idrees has written: 'Design and management of distributed data processing' -- subject(s): Electronic data processing, Distributed processing
It's Batch Processing,Realtime Processing,On line Processing and Distributed Processing.