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Authors: Tarcizio Alexandre Bini ; Marcos Sfair Sunye and Adriano Lange

Affiliation: Federal University of Paraná, Brazil

Keyword(s): Virtualization, Cloud Computing, Legacy Database, Tuning.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Enterprise Information Systems ; Legacy Systems ; Performance Evaluation and Benchmarking ; Query Languages and Query Processing

Abstract: Cloud computing environments are attractive for IT service provision as they allow for greater flexibility and rationalization of IT infrastructure. In an attempt to benefit from these environments, IT professionals are incorporating legacy Relational Database Management Systems (RDBMSs) in them. However, the design of these legacy systems do not account to the changes in resource availability, present in cloud environments. This work evaluates the use of rules of thumb in RDBMS configuration. Through an evaluation method that simulates concurrent I/O workloads, we analyzed the RDBMS performance under various settings. The results show that well-known configuration rules are inefficient in these environments and that new definitions are necessary to harvest the benefits of cloud computing environments.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bini, T.; Sunye, M. and Lange, A. (2014). Cloud Computing - An Evaluation of Rules of Thumb for Tuning RDBMSs. In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-989-758-027-7; ISSN 2184-4992, SciTePress, pages 187-192. DOI: 10.5220/0004882601870192

@conference{iceis14,
author={Tarcizio Alexandre Bini. and Marcos Sfair Sunye. and Adriano Lange.},
title={Cloud Computing - An Evaluation of Rules of Thumb for Tuning RDBMSs},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2014},
pages={187-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004882601870192},
isbn={978-989-758-027-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - Cloud Computing - An Evaluation of Rules of Thumb for Tuning RDBMSs
SN - 978-989-758-027-7
IS - 2184-4992
AU - Bini, T.
AU - Sunye, M.
AU - Lange, A.
PY - 2014
SP - 187
EP - 192
DO - 10.5220/0004882601870192
PB - SciTePress

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