Title: Integration of OLAP and data mining for analysis of results from dependability evaluation experiments

Authors: Gergely Pinter, Henrique Madeira, Marco Vieira, Istvan Majzik, Andras Pataricza

Addresses: Department of Measurement and Information Systems, Budapest University of Technology and Economics, H-1117 Budapest, Magyar Tudosok krt.2, Hungary. ' CISUC – Centre of Informatics and Systems, University of Coimbra, 3030-199 Coimbra, Polo II – Universidade de Coimbra, Portugal. ' CISUC – Centre of Informatics and Systems, University of Coimbra, 3030-199 Coimbra, Polo II – Universidade de Coimbra, Portugal. ' Department of Measurement and Information Systems, Budapest University of Technology and Economics, H-1117 Budapest, Magyar Tudosok krt.2, Hungary. ' Department of Measurement and Information Systems, Budapest University of Technology and Economics, H-1117 Budapest, Magyar Tudosok krt.2, Hungary

Abstract: This paper proposes the application of On-Line Analytical Processing (OLAP) and data mining approaches to analyse the large amount of raw data collected in fault injection campaigns and dependability benchmarking experiments. We use data warehousing technologies to store raw results from different experiments in a multidimensional structure where raw data can be analysed by means of OLAP tools. Moreover, we present an approach for identifying the key infrastructural factors determining the behaviour of computer systems in the presence of faults by the application of data mining methods on the data sets. Results obtained with the proposed techniques identified important factors impacting performance and dependability that could not have been revealed solely by the benchmark measures.

Keywords: dependability evaluation; data mining; on-line analytical processing; OLAP; fault injection; dependability benchmarking; data warehousing.

DOI: 10.1504/IJKMS.2008.019753

International Journal of Knowledge Management Studies, 2008 Vol.2 No.4, pp.480 - 498

Available online: 29 Jul 2008 *

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