Instrumentation with Runtime Monitors for Extraction of Performance Models during Software Evolution
| Vortragende(r) | Florian Fei | |
|---|---|---|
| Vortragstyp | Bachelorarbeit | |
| Betreuer(in) | Emre Taşpolatoğlu | |
| Termin | Fr 6. September 2019 | |
| Vortragssprache | ||
| Vortragsmodus | ||
| Kurzfassung | In recent times, companies are increasingly looking to migrate their legacy software system
to a microservice architecture. This large-scale refactor is often motivated by concerns over high levels of interdependency, developer productivity problems and unknown boundaries for functionality. However, modernizing legacy software systems has proven to be a di�cult and complex process to execute properly. This thesis intends to provide a mean of decision support for this migration process in the form of an accurate and meaningful performance monitoring instrumentation and a performance model of said system. It speci�cally presents an instrumentation concept that incurs minimal performance overhead and is generally compatible with legacy systems implemented using object-oriented programming paradigms. In addition, the concept illustrates the extraction of performance model speci�cs with the monitoring data. This concept was developed on an enterprise legacy system provided by Capgemini. This concept was then implemented on this system. A subsequent case study was conducted to evaluate the quality of the concept. | |