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Session - 24 FUTURE DEVELOPMENT IN DISTRIBUTED DATABASE

Matakuliah : M0184 / Pengolahan Data Distribusi Tahun : 2005 Versi :. Session - 24 FUTURE DEVELOPMENT IN DISTRIBUTED DATABASE. DISTRIBUTED EXPERT SYSTEM. OBJECTIVES. Technological development in several areas which impact on future generations of distributed database system

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Session - 24 FUTURE DEVELOPMENT IN DISTRIBUTED DATABASE

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  1. Matakuliah : M0184 / Pengolahan Data Distribusi Tahun : 2005 Versi : Session - 24FUTURE DEVELOPMENT IN DISTRIBUTED DATABASE DISTRIBUTED EXPERT SYSTEM

  2. OBJECTIVES • Technological development in several areas which impact on future generations of distributed database system • Extensive domains require larger knowledge bases • DES approach

  3. Characteristic • Including deeper knowledge – reasoning for first principles – in addition to the shallower “compelled hindsight’ store typically as rules in conventional expert system • Linking diverse expert system which have been developed in isolation from one another

  4. Types OF DES • HOPES  the Hierarchically Organized Parallel Expert System • DVTB  Distant vehicle monitoring tested • HECODES  Heterogeneous Cooperating Expert System

  5. Modules of DES Task Assignment • Decomposition assignment and solution followed by synthesis of solutions • Collective deliberation, which issue are most important – proposed alternative solution – prioritizes solutions

  6. Modules of DES Cont’d Organization • Centralized Control • Decentralized control Coordination Planning solution coordination and execution of the solution collaboration

  7. Modules of DES Cont’d Learning Do we allow the control modules to learn from experiences Communication The interaction between node

  8. DDBs Versus DESs DDBs • Data factual and knowledge stores only • Single answer to query • Database system tend to neglect incompleteness problems in data • It is unusual to find significant or extensive data replication • Have global schema

  9. DDBs Versus DESs DESs • The agents composed of factual knowledge sources supplement • No unique solution to a given problem • Rule or facts may appear at several places in the network • Have a local perspective, if problem can not be solved locally, it is passed to a ‘neighbor’ • Dialogue can take place between agents

  10. Distributed Expert System TASK • Extract relevant information from the sampled signal • Determine he velocity of the target • Determine the distance from the target • Monitor velocities of the target over some period • Monitor the distance from receiver over a period

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