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

Abstract

In this paper we will compose the design patterns which will satisfy the properties of autonomic computing system: for the Decision-Making phase we will introduce Case-Based Reasoning design pattern, and for Reconfiguration phase we will introduce Reactor design pattern. The most important proposal in our composite design pattern is that we 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. Then we will include the new service as an aspectual feature module code without interrupting the user.As far as we know, there are no studies on composition of design patterns and pattern languages for autonomic computing domain. We will authenticate our work by a simple case study work. A simple Class and Sequence diagrams are depicted.