Dynamic Reconfiguration of robot software component in real time distributed system using clustering techniques

Abstract

The requirement of the distributed system in optimum resource is creating the new scope of business for the software industry in the area of component based technology with data mining techniques. In optimization of software, the development cost, redesign complexity, resource planning has been growing area of search based software engineering. The reuse of artifacts has been growing over the last decade and the recent works have focus on dynamic reconfiguration of logical component design. However, there are still gaps for identification and reconfigurations of software service component. In this paper, the proposed algorithm gives effective approach for dynamically reconfigurable of the design in real time application with new software service component using clustering techniques. This algorithm is able to handle the large system data set and also applicable for the multiple hierarchy redesign problem. The proposed algorithm compared against similarity score algorithm using a case study of robot path planner class diagram.