Gesellschaft für Informatik e.V.

Lecture Notes in Informatics

Software Engineering 2011 - Workshopband P-184, 279-284 (2011).

Gesellschaft für Informatik, Bonn

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Online performance prediction with architecture-level performance models

Fabian Brosig


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.

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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-278-9

Last changed 04.10.2013 18:35:47