Instrumentation with Runtime Monitors for Extraction of Performance Models during Software Evolution: Unterschied zwischen den Versionen
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|betreuer=Emre Taşpolatoğlu | |betreuer=Emre Taşpolatoğlu | ||
|termin=Institutsseminar/2019-09-06 | |termin=Institutsseminar/2019-09-06 | ||
|kurzfassung=In recent times, companies are increasingly looking to migrate their legacy software system | |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 difficult 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 specifically 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 specifics 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. | ||
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 | |||
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 | |||
programming paradigms. In addition, the concept illustrates the extraction of performance | |||
model | |||
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. | |||
}} | }} | ||
Aktuelle Version vom 2. September 2019, 07:57 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 difficult 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 specifically 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 specifics 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. | |