Key influencing factors of the Kubernetes auto-scaler for computing-intensive microservice-native cloud-based applications

Salman Taherizadeh, Marko Grobelnik
Advances in Engineering Software, Volume 140, February 2020, 102734


    Nowadays, almost all engineering positions from software engineers to site reliability engineers one way or another deal with auto-scaling applications. To this end, modern software engineering disciplines employ orchestration tools such as Kubernetes. This is our new article published in Advances in Engineering Software. We proposed a set of key factors exploited in the PrEstoCloud software system for auto-scaling microservice-native cloud-based computationally-intensive applications.

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