University thesis:
Dissertation, Tilburg University, 2016
Footnote:
Description:
This PhD dissertation investigates how to overcome the negative effects of cross cutting concerns in the development of composite service applications. It proposes a combination of dynamic aspect oriented programming with a rules driven service composition mechanism. This combination enables very exible utilization of aspects based on run-time data. The thesis contributes a join-point model and it integrates techniques for weaving and advice definition into the underlying composition language and execution engine. A particular focus is telecommunication applications with their unique model for utilizing heterogeneous constituent services and severe real-time requirements. In addition to its primary focus on modular implementation and dynamic deployment of concerns in telecommunication services, the dissertation discusses AOP as an enabler for automated management and customization of applications. The verification of the proposed solution contributes a detailed assessment of run-time performance. This includes a theoretical model of the AOP implementation for a quantitative prediction of performance expected from alternative AOP solutions. The combination of AOP and service composition proposed by this dissertation provides features, which directly address challenges in pervasive computing and the Internet of things. Thus, this dissertation advances beyond telecommunication with results applicable to various highly relevant technical domains.