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Modeling and Simulation of Dynamic Containerized Software Architectures using Palladio

dc.contributor.authorHagel, Nathan
dc.contributor.editorDhungana, Deepak
dc.contributor.editorLambers, Leen
dc.contributor.editorBonorden, Leif
dc.contributor.editorHenning, Sören
dc.date.accessioned2024-02-14T05:22:29Z
dc.date.available2024-02-14T05:22:29Z
dc.date.issued2024
dc.description.abstractNowadays, 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.doi10.18420/sw2024-ws_15
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43512
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSE 2024 - Companion
dc.subjectContainer
dc.subjectPerformance Prediction
dc.subjectContainer Orchestration
dc.titleModeling and Simulation of Dynamic Containerized Software Architectures using Palladioen
dc.typeText/Conference Paper
gi.citation.endPage178
gi.citation.startPage177
gi.conference.date26.- 27. Februar
gi.conference.locationLinz
gi.conference.sessiontitleSRC

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