Automated extraction of architecture-level performance models of distributed component-based systems (bibtex)
by Brosig, F, Huber, N and Kounev, S
Abstract:
Modern service-oriented enterprise systems have increasingly complex and dynamic loosely-coupled architectures that often exhibit poor performance and resource efficiency and have high operating costs. This is due to the inability to predict at run-time the effect of dynamic changes in the system environment and adapt the system configuration accordingly. Architecture-level performance models provide a powerful tool for performance prediction, however, current approaches to modeling the execution context of software components are not suitable for use at run-time. In this paper, we analyze the typical online performance prediction scenarios and propose a novel performance meta-model for expressing and resolving parameter and context dependencies, specifically designed for use in online scenarios. We motivate and validate our approach in the context of a realistic and representative online performance prediction scenario based on the SPECjEnterprise2010 standard benchmark.
Reference:
Automated extraction of architecture-level performance models of distributed component-based systems (Brosig, F, Huber, N and Kounev, S), In Proceedings of the 2011 26th IEEEACM International Conference on Automated Software Engineering, 2011.
Bibtex Entry:
@inproceedings{Brosig2011,
abstract = {Modern service-oriented enterprise systems have increasingly complex and dynamic loosely-coupled architectures that often exhibit poor performance and resource efficiency and have high operating costs. This is due to the inability to predict at run-time the effect of dynamic changes in the system environment and adapt the system configuration accordingly. Architecture-level performance models provide a powerful tool for performance prediction, however, current approaches to modeling the execution context of software components are not suitable for use at run-time. In this paper, we analyze the typical online performance prediction scenarios and propose a novel performance meta-model for expressing and resolving parameter and context dependencies, specifically designed for use in online scenarios. We motivate and validate our approach in the context of a realistic and representative online performance prediction scenario based on the SPECjEnterprise2010 standard benchmark.},
author = {Brosig, F and Huber, N and Kounev, S},
booktitle = {Proceedings of the 2011 26th IEEEACM International Conference on Automated Software Engineering},
isbn = {1457716380},
keywords = {declare_pw},
mendeley-tags = {declare_pw},
pages = {183--192 TS  -- EndNote M4  -- Citavi},
title = {{Automated extraction of architecture-level performance models of distributed component-based systems}},
year = {2011}
}
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