Cloud Computing - An Evaluation of Rules of Thumb for Tuning RDBMSs

Tarcizio Alexandre Bini, Marcos Sfair Sunye, Adriano Lange

2014

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.

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Paper Citation


in Harvard Style

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 1: ICEIS, ISBN 978-989-758-027-7, pages 187-192. DOI: 10.5220/0004882601870192

in Bibtex Style

@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 1: ICEIS,},
year={2014},
pages={187-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004882601870192},
isbn={978-989-758-027-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Cloud Computing - An Evaluation of Rules of Thumb for Tuning RDBMSs
SN - 978-989-758-027-7
AU - Bini T.
AU - Sunye M.
AU - Lange A.
PY - 2014
SP - 187
EP - 192
DO - 10.5220/0004882601870192