Difference between revisions of "Architecture Styles"

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* Characterised by the access/update of a central data store.
 
* Characterised by the access/update of a central data store.
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* The data store can be passive (e.g. a file) or be active (e.g. blackboard)
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* Good for integration and extensibility. There is a low coupling - only the data is shared.
 
* E.g. Transactional DB, Blackboard, CASE Tools.
 
* E.g. Transactional DB, Blackboard, CASE Tools.
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== Blackboard ==
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* If the current state of the central data is the main trigger for processes to execute, then the repository can be a blackboard.
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* A common knowledge base, the "blackboard", is iteratively updated by a diverse group of specialist knowledge sources, starting with a problem specification and ending with a solution.
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* Each knowledge source updates the blackboard with a partial solution when its internal constraints match the blackboard state.
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* In this way, the specialists work together to solve the problem.
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* Invocation of a KS is triggered by the state of the blackboard.

Revision as of 07:35, 4 April 2012

Intro

  • It is a pattern of component types and their interactions.
  • Define constraints: how things are allowed to interact.
  • Architectural pattern is synonym for style.
  • Defining features:
    • Component types: e.g data store, processes etc.
    • Component layout: e.g. which process is allowed to access data store.
    • Connectors: e.g how are they connected ? RPC, Data stream ?
    • Constraints: On components - e.g. data store cant modify itself, On connections - no P2P communication allowed.

Data Centred

  • Characterised by the access/update of a central data store.
  • The data store can be passive (e.g. a file) or be active (e.g. blackboard)
  • Good for integration and extensibility. There is a low coupling - only the data is shared.
  • E.g. Transactional DB, Blackboard, CASE Tools.

Blackboard

  • If the current state of the central data is the main trigger for processes to execute, then the repository can be a blackboard.
  • A common knowledge base, the "blackboard", is iteratively updated by a diverse group of specialist knowledge sources, starting with a problem specification and ending with a solution.
  • Each knowledge source updates the blackboard with a partial solution when its internal constraints match the blackboard state.
  • In this way, the specialists work together to solve the problem.
  • Invocation of a KS is triggered by the state of the blackboard.