Efficient parallel installation of software collections on a PaaS

Abstract: This master thesis analyses and investigates how to speed up the deployment of a suite of services to a Platform as a Service. The project use IBM’s Cloud Pak for Applications together with Red Hats OpenShift to provide insights on important factors that influences the deployment process. In this thesis, a modification was done on the installer such that the deployment instructions were sent in parallel instead of sequentially. Except for the parallel suggestion, this thesis also investigates different options on how constraints could be applied to the CPU and what the consequences are. At the end of this report, the reader will also see how the deployment times are affected by cluster scaling. An implementation of the parallel deployment showed that the installation time of Cloud Pak for Applications could be decreased. It was also shown that the CPU was not utilized fully and that there exists significant CPU saturation during the deployment. The evaluation of the scaling analysis showed that, in regards of this thesis, it is more beneficial both timewise and cost-wise to scale horizontally rather than vertically.