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Authors: B. M. Monjurul Alom ; Frans Henskens and Michael Hannaford

Affiliation: School of Electrical Engineering & Computer Science, University of Newcastle, Australia

ISBN: 978-989-8111-53-1

Keyword(s): Compression, Single Column, Fragment, Single Vector, Cardinality.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Communication and Software Technologies and Architectures ; Data Engineering ; Data Warehouses and Data Mining ; e-Business ; Enterprise Information Systems

Abstract: Loss-less data compression is attractive in database systems as it may facilitate query performance improvement and storage reduction. Although there are many compression techniques which handle the whole database in main memory, problems arise when the amount of data increases gradually over time, and also when the data has high cardinality. Management of a rapidly evolving large volume of data in a scalable way is very challenging. This paper describes a disk based single vector large data cardinality approach, incorporating data compression in a distributed environment. The approach provides substantial storage performance improvement compared to other high performance database systems. The compressed database structure presented provides direct addressability in a distributed environment, thereby reducing retrieval latency when handling large volumes of data.

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Paper citation in several formats:
M. Monjurul Alom B.; Henskens F.; Hannaford M. and (2008). COMPRESSED DATABASE STRUCTURE TO MANAGE LARGE SCALE DATA IN A DISTRIBUTED ENVIRONMENT.In Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-8111-53-1, pages 37-44. DOI: 10.5220/0001875600370044

@conference{icsoft08,
author={B. {M. Monjurul Alom} and Frans Henskens and Michael Hannaford},
title={COMPRESSED DATABASE STRUCTURE TO MANAGE LARGE SCALE DATA IN A DISTRIBUTED ENVIRONMENT},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2008},
pages={37-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001875600370044},
isbn={978-989-8111-53-1},
}

TY - CONF

JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - COMPRESSED DATABASE STRUCTURE TO MANAGE LARGE SCALE DATA IN A DISTRIBUTED ENVIRONMENT
SN - 978-989-8111-53-1
AU - M. Monjurul Alom, B.
AU - Henskens, F.
AU - Hannaford, M.
PY - 2008
SP - 37
EP - 44
DO - 10.5220/0001875600370044

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