N. Huber, F. Brosig, and S. Kounev. Proceedings of the 8th ACM SIGSOFT International Conference on the Quality of Software Architectures (QoSA 2012), page 81--90. New York, NY, USA, ACM, (June 2012)Acceptance Rate (Full Paper): 25.6\%.
Abstract
Modern data centers are subject to an increasing demand for flexibility. Increased flexibility and dynamics, however, also result in a higher system complexity. This complexity carries on to run-time resource management for Quality-of-Service (QoS) enforcement, rendering design-time approaches for QoS assurance inadequate. In this paper, we present a set of novel meta-models that can be used to describe the resource landscape, the architecture and resource layers of dynamic virtualized data center infrastructures, as well as their run-time adaptation and resource management aspects. With these meta-models we introduce new modeling concepts to improve model-based run-time QoS assurance. We evaluate our meta-models by modeling a representative virtualized service infrastructure and using these model instances for run-time resource allocation. The results demonstrate the benefits of the new meta-models and show how they can be used to improve model-based system adaptation and run-time resource management in dynamic virtualized data centers.
%0 Conference Paper
%1 HuBrKo2012-QoSA-ModelingVirtResLandscapes
%A Huber, Nikolaus
%A Brosig, Fabian
%A Kounev, Samuel
%B Proceedings of the 8th ACM SIGSOFT International Conference on the Quality of Software Architectures (QoSA 2012)
%C New York, NY, USA
%D 2012
%I ACM
%K Self-adaptive-systems Resource_management DML Meta-models t_full Performance Application_quality_of_service_management Formal_architecture_modeling Self-aware-computing Virtualization descartes
%P 81--90
%T Modeling Dynamic Virtualized Resource Landscapes
%U http://qosa.ipd.kit.edu/qosa_2012/
%X Modern data centers are subject to an increasing demand for flexibility. Increased flexibility and dynamics, however, also result in a higher system complexity. This complexity carries on to run-time resource management for Quality-of-Service (QoS) enforcement, rendering design-time approaches for QoS assurance inadequate. In this paper, we present a set of novel meta-models that can be used to describe the resource landscape, the architecture and resource layers of dynamic virtualized data center infrastructures, as well as their run-time adaptation and resource management aspects. With these meta-models we introduce new modeling concepts to improve model-based run-time QoS assurance. We evaluate our meta-models by modeling a representative virtualized service infrastructure and using these model instances for run-time resource allocation. The results demonstrate the benefits of the new meta-models and show how they can be used to improve model-based system adaptation and run-time resource management in dynamic virtualized data centers.
@inproceedings{HuBrKo2012-QoSA-ModelingVirtResLandscapes,
abstract = {Modern data centers are subject to an increasing demand for flexibility. Increased flexibility and dynamics, however, also result in a higher system complexity. This complexity carries on to run-time resource management for Quality-of-Service (QoS) enforcement, rendering design-time approaches for QoS assurance inadequate. In this paper, we present a set of novel meta-models that can be used to describe the resource landscape, the architecture and resource layers of dynamic virtualized data center infrastructures, as well as their run-time adaptation and resource management aspects. With these meta-models we introduce new modeling concepts to improve model-based run-time QoS assurance. We evaluate our meta-models by modeling a representative virtualized service infrastructure and using these model instances for run-time resource allocation. The results demonstrate the benefits of the new meta-models and show how they can be used to improve model-based system adaptation and run-time resource management in dynamic virtualized data centers.},
added-at = {2020-04-05T23:13:17.000+0200},
address = {New York, NY, USA},
author = {Huber, Nikolaus and Brosig, Fabian and Kounev, Samuel},
biburl = {https://www.bibsonomy.org/bibtex/24f2b1c4093750cf71bbe7bd57839df77/se-group},
booktitle = {Proceedings of the 8th ACM SIGSOFT International Conference on the Quality of Software Architectures (QoSA 2012)},
interhash = {4843def35ed947ec2e9e7e9e9807f215},
intrahash = {4f2b1c4093750cf71bbe7bd57839df77},
keywords = {Self-adaptive-systems Resource_management DML Meta-models t_full Performance Application_quality_of_service_management Formal_architecture_modeling Self-aware-computing Virtualization descartes},
month = {June},
note = {Acceptance Rate (Full Paper): 25.6\%},
pages = {81--90},
publisher = {ACM},
timestamp = {2020-10-05T16:27:21.000+0200},
title = {{Modeling Dynamic Virtualized Resource Landscapes}},
url = {http://qosa.ipd.kit.edu/qosa_2012/},
year = 2012
}