Composition of monitoring components for on-demand construction of runtime model based on model synthesis

Monitoring functionality is implemented and provided as infrastructure of most software platforms and applications. However, the construction of system model cannot be achieved by directly composing runtime model of different applications. First, models which conform to different meta-models cannot be directly composed. Second, the abstract of a system may be different from different viewpoint. Finally, the relationships between systems are different from different abstract viewpoint. In this paper, we propose a DSL (Domain Specific Language) for composition of monitoring components. The DSL distinguish component definition and instance clearly in order to enables reuse of monitoring component. Based on the component composition, the meta-model of target runtime model is generated. We developed an algorithm to generate model transformation for synthesizing runtime models of its applications. In the case study, we choose four monitoring systems as monitoring component types in our DSL. We introduce how to compose monitoring components for on-demand construction of runtime model based on model synthesis.