1-Fast processing
2-Coleberating processing
3-Load reduce
4-Secure
Can drastically increase processing speed
Distributed processing involves multiple interconnected systems working together to complete a task, with each system performing a different part of the task. Parallel processing, on the other hand, involves breaking down a task into smaller sub-tasks and executing them simultaneously using multiple processors within the same system. In distributed processing, systems may be geographically dispersed, while parallel processing occurs within a single system.
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.
distributed data services examples
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)
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
its a BEAR
1.batch processing 2.On-line processing 3.Distributed processing
Glenn Bruns has written: 'Distributed systems analysis with CCS' -- subject(s): Systems analysis, Electronic data processing, Distributed processing
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