Distance and Location Independence: You don't have to travel to central computer to get your information needed.
Expandable (Incremental Growth): New nodes can add to network easily.
Flexible: Easier to users to get things done.
Resource Sharing: Number of nodes can have access to a printer/scanner attached to a a specific node.
Increased End User Productivity: User can log-in to a computer using his password and according to user name and password using any node withing the network
Vendor Independence: Products from different vendors can be attached to form the network
More responsive than a CDP unit.
Hope this will help you!
( H.W Thushara Indika from Bandarawela, Sri Lanka)
distributed data services examples
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.
Processing occurring in a single location of facility but data is distributed to various remote location
Hans A. Hansson has written: 'Time and probability in formal design of distributed systems' -- subject(s): Electronic data processing, Distributed processing, Real-time data processing, System design
Alwyn Langsford has written: 'Distributed systems management' -- subject(s): Distributed processing, Electronic data processing
Nancy A. Lynch has written: 'Distributed algorithms' -- subject(s): Computer algorithms, Electronic data processing, Distributed processing
Scott Small has written: 'Task assignment in distributed systems' -- subject(s): Electronic data processing, Distributed processing
Grayce M. Booth has written: 'The Distributed System Environment' -- subject(s): Distributed processing, Electronic data processing 'Functional analysis of information processing' -- subject(s): Electronic data processing, Structured techniques, System design
Decentralized data processing are computer systems in different locations. These implies to limited daily communications. It is the opposite of distributed computing.
James L. McClelland has written: 'Explorations in parallel distributed processing' -- subject(s): Distributed processing, Electronic computers, Electronic data processing, Parallel processing, Parallel processing (Electronic computers)
Benjamin W. Wah has written: 'Data management on distributed databases' -- subject(s): Database management, Distributed processing, Electronic data processing 'Computers for artificial intelligence applications' -- subject(s): Artificial intelligence, Computer architecture, Data processing