|Datum||Fr 15. September 2017, 11:30 Uhr|
|Ort||Raum 348 (Gebäude 50.34)|
|Vorheriger Termin||Fr 8. September 2017|
|Nächster Termin||Fr 15. September 2017|
|Titel||Enabling Architectural Performability Analyses for Microservices via Design Pattern Completions|
|Kurzfassung||Microservices architectures have gained popularity over the recent years, especially since global players in the internet economy changed to this architectural style. Many architectural patterns for recurring problems were identified, such as the Service Discovery for service registration or Client-side Load Balancing for load distribution.
Architectural analyses with the Palladio framework allow for the investigation of the attainment of these requirements during design time. The Architectural Templates method combines architecture models with architectural patterns and styles and allows for design-time analyses. In this thesis, we create a Microservices Architectural Templates catalog, containing microservices Architectural Templates. A selection of widely used patterns is analyzed and conceptually mapped to the Architectural Templates method. A case study, conducted with a sample application representing a customer relationship management application, shows that software architects can profit from the provided templates by automatic model completions and accurate analyses results.
|Titel||Specifying and Maintaining the Correspondence between Architecture Models and Runtime Observations|
|Kurzfassung||The goal of this thesis is to provide a generic concept of a correspondence model (CM) to map high-level model elements to corresponding low-level model elements and to generate this mapping during implementation of the high-level model using a correspondence model generator (CGM). In order to evaluate our approach, we implement and integrate the CM for the iObserve project. Further we implement the proposed CMG and integrate it into ProtoCom, the source code generator used by the iObserve project. We first evaluate the feasibility of this approach by checking whether such a correspondence model can be specified as desired and generated by the CGM. Secondly, we evaluate the accuracy of the approach by checking the generated correspondences against a reference model.|
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