Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A Quantitative Approach for the Assessment of Microservice Architecture Deployment Alternatives by Automated Performance Testing
Microservices have emerged as an architectural style for developing distributed applications. Assessing the performance of architectural deployment alternatives is challenging and must be aligned with the system usage in the production environment. In this paper, we introduce an approach for using operational profiles to generate load tests to automatically assess scalability pass/fail criteria of several microservices deployment alternatives, using a baseline computation of performance requirements. We have evaluated our approach with different architecture deployment alternatives using extensive lab studies in a large bare metal host environment and a virtualized environment. We have found that in auto-scaling cloud environments careful performance engineering activities shall be executed before additional resources are added to the architecture deployment configuration.
A Quantitative Approach for the Assessment of Microservice Architecture Deployment Alternatives by Automated Performance Testing
Microservices have emerged as an architectural style for developing distributed applications. Assessing the performance of architectural deployment alternatives is challenging and must be aligned with the system usage in the production environment. In this paper, we introduce an approach for using operational profiles to generate load tests to automatically assess scalability pass/fail criteria of several microservices deployment alternatives, using a baseline computation of performance requirements. We have evaluated our approach with different architecture deployment alternatives using extensive lab studies in a large bare metal host environment and a virtualized environment. We have found that in auto-scaling cloud environments careful performance engineering activities shall be executed before additional resources are added to the architecture deployment configuration.
A Quantitative Approach for the Assessment of Microservice Architecture Deployment Alternatives by Automated Performance Testing
Alberto Avritzer (Autor:in) / Vincenzo Ferme (Autor:in) / Andrea Janes (Autor:in) / Barbara Russo (Autor:in) / Henning Schulz (Autor:in) / André van Hoorn (Autor:in)
31.05.2018
Forschungsdaten
Elektronische Ressource
Englisch
DDC:
720
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