Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language
Author:
Abstract
We present the results of our recent work published in [Hu17] and summarized in [Ko16]. We introduce a holistic model-based approach for self-aware performance and resource management of modern IT systems and infrastructures. Based on a novel online performance prediction process, we implement a model-based control loop for proactive system adaptation. We evaluate our approach in the context of two representative case studies showing that with the proposed methods, significant resource efficiency gains can be achieved while maintaining performance requirements. These results represent the first end-to-end validation of our approach, demonstrating its potential for self-aware performance and resource management of modern IT systems and infrastructures.
- Citation
- BibTeX
Kounev, S., Huber, N., Brosig, F., Spinner, S. & Bähr, M.,
(2017).
Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language.
In:
Jürjens, J. & Schneider, K.
(Hrsg.),
Software Engineering 2017.
Bonn:
Gesellschaft für Informatik e.V..
(S. 95).
@inproceedings{mci/Kounev2017,
author = {Kounev, Samuel AND Huber, Nikolaus AND Brosig, Fabian AND Spinner, Simon AND Bähr, Manuel},
title = {Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language},
booktitle = {Software Engineering 2017},
year = {2017},
editor = {Jürjens, Jan AND Schneider, Kurt} ,
pages = { 95 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Kounev, Samuel AND Huber, Nikolaus AND Brosig, Fabian AND Spinner, Simon AND Bähr, Manuel},
title = {Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language},
booktitle = {Software Engineering 2017},
year = {2017},
editor = {Jürjens, Jan AND Schneider, Kurt} ,
pages = { 95 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
ISBN: 978-3-88579-661-9
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2017
Language:
(en)

Content Type: Text/Conference Paper