Integration of OLAP and Data Mining for Analysis of Results from Dependability Evaluation Experiments

CímIntegration of OLAP and Data Mining for Analysis of Results from Dependability Evaluation Experiments
Közlemény típusaJournal Article
Kiadás éve2008
SzerzőkPintér, G., Madeira, H., Vieira, M., Majzik, I., and Pataricza, A.
FolyóiratINTERNATIONAL JOURNAL OF KNOWLEDGE MANAGEMENT STUDIES
Kötet2
Kiadás4
Pagination480 - 498
Kiadás dátuma2008
ISBN-szám1743-8268
ÖsszefoglalásThis 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.
URLhttp://www.mit.bme.hu/~pinter/publications-files/pinter-madeira-vieira-majzik-pataricza-2007-ijkms-integration-of-olap-and-data-mining-for-analysis-of-results-from-dependability-evaluation-experiments.pdf