ONTOLOGY-BASED AUTONOMIC COMPUTING FOR RESOURCE SHARING BETWEEN DATA WAREHOUSES IN DECISION SUPPORT SYSTEMS

Vlad Nicolicin-Georgescu, Vincent Benatier, Remi Lehn, Henri Briand

2010

Abstract

Complexity is the biggest challenge in managing information systems today, because of the continuous growth in data and information. As decision experts, we are faced with the problems generated by managing Decision Support Systems, one of which is the efficient allocation of shared resources. In this paper, we propose a solution for improving the allocation of shared resources between groups of data warehouses within a decision support system, with the Service Levels Agreements and Quality of Service as performance objectives. We base our proposal on the notions of autonomic computing, by challenging the traditional way of autonomic systems and by taking into consideration decision support systems’ special characteristics such as usage discontinuity or service level specifications. To this end, we propose the usage of specific heuristics for the autonomic self-improvement and integrate aspects of semantic web and ontology engineering as information source for knowledge base representation, while providing a critical view over the advantages and disadvantages of such a solution.

Paper Citation

in Harvard Style

Nicolicin-Georgescu V., Benatier V., Lehn R. and Briand H. (2010). ONTOLOGY-BASED AUTONOMIC COMPUTING FOR RESOURCE SHARING BETWEEN DATA WAREHOUSES IN DECISION SUPPORT SYSTEMS . In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-8425-06-5, pages 199-206. DOI: 10.5220/0002895501990206

in Bibtex Style

@conference{iceis10,
author={Vlad Nicolicin-Georgescu and Vincent Benatier and Remi Lehn and Henri Briand},
title={ONTOLOGY-BASED AUTONOMIC COMPUTING FOR RESOURCE SHARING BETWEEN DATA WAREHOUSES IN DECISION SUPPORT SYSTEMS},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2010},
pages={199-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002895501990206},
isbn={978-989-8425-06-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - ONTOLOGY-BASED AUTONOMIC COMPUTING FOR RESOURCE SHARING BETWEEN DATA WAREHOUSES IN DECISION SUPPORT SYSTEMS
SN - 978-989-8425-06-5
AU - Nicolicin-Georgescu V.
AU - Benatier V.
AU - Lehn R.
AU - Briand H.
PY - 2010
SP - 199
EP - 206
DO - 10.5220/0002895501990206