Modeling and Simulation of Dynamic Containerized Software Architectures using Palladio
| dc.contributor.author | Hagel, Nathan | |
| dc.contributor.editor | Dhungana, Deepak | |
| dc.contributor.editor | Lambers, Leen | |
| dc.contributor.editor | Bonorden, Leif | |
| dc.contributor.editor | Henning, Sören | |
| dc.date.accessioned | 2024-02-14T05:22:29Z | |
| dc.date.available | 2024-02-14T05:22:29Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Nowadays, distributed applications are often not statically deployed on virtual machines. Instead, a desired state is defined declaratively. A control loop then tries to create the desired state in a cluster. To predict the impact on the performance of a system using these deployment techniques is difficult. This paper introduces a method to predict the performance impact of the usage of containers and container orchestration in the deployment of a system. Our proposed approach enables system simulation and experimentation with various mechanisms of container orchestration, including autoscaling and container scheduling using the Palladio-Component-Model (PCM). We validated this approach using a Kubernetes reference cluster which we modelled using a workflow defined in the authors bachelor thesis [Ha22] [Ha23]. Our findings suggest, that the most common concepts in container orchestration can be modelled and simulated using Palladio and the PCM-Extension of [Ha22]. | en |
| dc.identifier.doi | 10.18420/sw2024-ws_15 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43512 | |
| dc.language.iso | en | |
| dc.pubPlace | Bonn | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | SE 2024 - Companion | |
| dc.subject | Container | |
| dc.subject | Performance Prediction | |
| dc.subject | Container Orchestration | |
| dc.title | Modeling and Simulation of Dynamic Containerized Software Architectures using Palladio | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 178 | |
| gi.citation.startPage | 177 | |
| gi.conference.date | 26.- 27. Februar | |
| gi.conference.location | Linz | |
| gi.conference.sessiontitle | SRC |
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