Online performance prediction with architecture-level performance models
| dc.contributor.author | Brosig, Fabian | |
| dc.contributor.editor | Reussner, Ralf | |
| dc.contributor.editor | Pretschner, Alexander | |
| dc.contributor.editor | Jähnichen, Stefan | |
| dc.date.accessioned | 2019-01-17T13:49:48Z | |
| dc.date.available | 2019-01-17T13:49:48Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | Today's enterprise systems based on increasingly complex software architectures often exhibit poor performance and resource efficiency thus having high operating costs. This is due to the inability to predict at run-time the effect of changes in the system environment and adapt the system accordingly. We propose a new performance modeling approach that allows the prediction of performance and system resource utilization online during system operation. We use architecture-level performance models that capture the performance-relevant information of the software architecture, deployment, execution environment and workload. The models will be automatically maintained during operation. To derive performance predictions, we propose a tailorable model solving approach to provide flexibility in view of prediction accuracy and analysis overhead. | en |
| dc.identifier.isbn | 978-3-88579-278-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/19896 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Software Engineering 2011 – Workshopband | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-184 | |
| dc.title | Online performance prediction with architecture-level performance models | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 284 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 279 | |
| gi.conference.date | 21.-25. Februar 2011 | |
| gi.conference.location | Karlsruhe | |
| gi.conference.sessiontitle | Regular Research Papers |
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