Distributed processing:
It implies that an organization's computer resources and information processing activities are located at more than one location. Today, it also implies that computer resources are connected or networked in some manner.
Advantages of distributed processing
Managers and organizations have become interested in distributed processing for many reasons:
• Quicker response time: By locating processing power close to user, response time is typically improved. This means that the system responds rapidly to commands entered by users.
• Lower costs: Long-distance communication costs are declining at a slower rate than the cost of computer power. Distributed processing can reduce the volume of data that must be transmitted over long-distances and thereby reduce long-distance costs.
• Improved data integrity: High degrees of accuracy and correctness may be achieved by giving users control over data entry and storage.
• Reduced host processor costs: The productive life of a costly mainframe can be extended by off-loading some its processing tasks to other, less expensive machines (whose total costs usually a fraction of the cost needed to up-grade the central processor).
• Resource sharing: One of the main advantages of developing microcomputer networks is because they make it possible to share expensive resources such as high-speed, color laser printers, fast data storage devices, and high-priced software packages.
It implies that an organization's computer resources and information processing activities are located at more than one location. Today, it also implies that computer resources are connected or networked in some manner.
Advantages of distributed processing
Managers and organizations have become interested in distributed processing for many reasons:
• Quicker response time: By locating processing power close to user, response time is typically improved. This means that the system responds rapidly to commands entered by users.
• Lower costs: Long-distance communication costs are declining at a slower rate than the cost of computer power. Distributed processing can reduce the volume of data that must be transmitted over long-distances and thereby reduce long-distance costs.
• Improved data integrity: High degrees of accuracy and correctness may be achieved by giving users control over data entry and storage.
• Reduced host processor costs: The productive life of a costly mainframe can be extended by off-loading some its processing tasks to other, less expensive machines (whose total costs usually a fraction of the cost needed to up-grade the central processor).
• Resource sharing: One of the main advantages of developing microcomputer networks is because they make it possible to share expensive resources such as high-speed, color laser printers, fast data storage devices, and high-priced software packages.
