Instrumentation with Runtime Monitors for Extraction of Performance Models during Software Evolution: Unterschied zwischen den Versionen
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|kurzfassung= | |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. | |||
}} | }} | ||
Version vom 2. September 2019, 07:53 Uhr
| 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. | |