Service Composition Design Pattern for Autonomic Computing Systems Using Association Rule Based Learning and Service-Oriented Architecture

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Provided by: AIRCC
Topic: Big Data
Format: PDF
In this paper, the authors will compose the design patterns which will satisfy the properties of autonomic computing system: for the decision-making phase they will introduce case-based reasoning design pattern, and for reconfiguration phase they will introduce reactor design pattern. The most important proposal in their composite design pattern is that they will use the association rule learning method of data mining to learn about new services that can be added along with the requested service to make the service as a dynamic composition of two or more services.
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