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Chapter 3 : Distributed Data Processing

Chapter 3 : Distributed Data Processing. Business Data Communications, 5e. Centralized Data Processing. Centralized computers, processing, data, control, support What are the advantages? Economies of scale (equipment and personnel) Lack of duplication Ease in enforcing standards, security.

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Chapter 3 : Distributed Data Processing

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  1. Chapter 3 : Distributed Data Processing Business Data Communications, 5e

  2. Centralized Data Processing • Centralized computers, processing, data, control, support • What are the advantages? • Economies of scale (equipment and personnel) • Lack of duplication • Ease in enforcing standards, security

  3. Distributed Data Processing • Computers are dispersed throughout organization • Allows greater flexibility in meeting individual needs • More redundancy • More autonomy

  4. Why is DDP Increasing? • Dramatically reduced workstation costs • Improved user interfaces and desktop power • Ability to share data across multiple servers

  5. DDP Pros & Cons • There are no “one-size-fits-all” solutions • Key issues • How does it affect end-users? • How does it affect management? • How does it affect productivity? • How does it affect bottom-line?

  6. Responsiveness Availability Correspondence to Org. Patterns Resource Sharing Incremental Growth Increased User Involvement & Control End-user Productivity Distance & location independence Privacy and security Vendor independence Flexibility Benefits of DDP

  7. More difficulty test & failure diagnosis More components and dependence on communication means more points of failure Incompatibility of components Incompatibility of data More complex management & control Difficulty in control of corporate information resources Suboptimal procurement Duplication of effort Drawbacks of DDP

  8. Client/Server Architecture • Combines advantages of distributed and centralized computing • Cost-effective, achieves economies of scale • Flexible, scalable approach

  9. Intranets • Uses Internet-based standards & TCP/IP • Content is accessible only to internal users • A specialized form of client/server architecture • Can be managed (unlike Internet)

  10. Extranets • Similar to intranet, but provides access to controlled number of outside users • Vendors/suppliers • Customers

  11. Distributed applications • Vertical partitioning • One application dispersed among systems • Example: Retail chain POS, inventory, analysis • Horizontal partitioning • Different applications on different systems • One application replicated on systems • Example: Office automation

  12. Other forms of DDP • Distributed devices • Example: ATM machines • Network management • Centralized systems provide management and control of distributed nodes

  13. Distributed data • Centralized database • Pro: No duplication of data • Con: Contention for access • Replicated database • Pro: No contention • Con: High storage and data reorg/update costs • Partitioned database • Pro: No duplication, limited contention • Con: Ad hoc reports more difficult to assemble

  14. Networking Implications • Connectivity requirements • What links between components are necessary? • Availability requirements • Percentage of time application or data is available to users • Performance requirements • Response time requirements

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