Integrating run-time observations and design component models for cloud system analysis (bibtex)
by Heinrich, Robert, Schmieders, Eric, Jung, Reiner, Rostami, Kiana, Metzger, Andreas, Hasselbring, Willhelm, Reussner, Ralf and Pohl, Klaus
Abstract:
Run-time models have been proven beneficial in the past for predicting upcoming quality flaws in cloud applications. Observation approaches relate measurements to executed code whereas prediction models oriented towards design components are commonly applied to reflect reconfigurations in the cloud. Levels of abstraction differ between code observations and these prediction models. In this position paper, we address the specification of causal relations between observation data and a component-based run-time prediction model. We introduce a meta-model for observation data, based on which we propose a mapping language to (a) bridge divergent levels of abstraction and (b) trigger model updates.
Reference:
Integrating run-time observations and design component models for cloud system analysis (Heinrich, Robert, Schmieders, Eric, Jung, Reiner, Rostami, Kiana, Metzger, Andreas, Hasselbring, Willhelm, Reussner, Ralf and Pohl, Klaus), In CEUR Workshop Proceedings, volume 1270, 2014.
Bibtex Entry:
@inproceedings{heinrich2014integrating,
abstract = {Run-time models have been proven beneficial in the past for predicting upcoming quality flaws in cloud applications. Observation approaches relate measurements to executed code whereas prediction models oriented towards design components are commonly applied to reflect reconfigurations in the cloud. Levels of abstraction differ between code observations and these prediction models. In this position paper, we address the specification of causal relations between observation data and a component-based run-time prediction model. We introduce a meta-model for observation data, based on which we propose a mapping language to (a) bridge divergent levels of abstraction and (b) trigger model updates.},
author = {Heinrich, Robert and Schmieders, Eric and Jung, Reiner and Rostami, Kiana and Metzger, Andreas and Hasselbring, Willhelm and Reussner, Ralf and Pohl, Klaus},
booktitle = {CEUR Workshop Proceedings},
issn = {16130073},
keywords = {iobserve},
mendeley-tags = {iobserve},
organization = {CEUR},
pages = {41--46},
title = {{Integrating run-time observations and design component models for cloud system analysis}},
volume = {1270},
year = {2014}
}
Powered by bibtexbrowser