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Authors: M. El Malki ; H. Ben Hamadou ; N. El Malki and A. Kopliku

Affiliation: IRIT: Institut de Recherche en Informatique de Toulouse, France

ISBN: 978-989-758-298-1

Keyword(s): NoSQL, Cassandra, Mongodb, Monitoring, Tuning Performance.

Abstract: NoSQL databases are considered as a serious alternative for processing data whose volume reaches limits that are difficult to manage by relational DBMS. So far, they are praised for the capability to scale, replication and their capability to deal with new flexible data models. Most of these systems are compared to read/write throughput and their ability to scale. However, there is a need to get more in depth to monitor more precise metrics related to RAM, CPU and disk usage. In this paper, we propose a benchmark suite tools that enables data generation, monitoring and comparison. It supports several NoSQL systems including: column-oriented, document-oriented as well as multistores. We present some experimental results that show its utility.

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Paper citation in several formats:
El Malki, M.; Ben Hamadou, H.; El Malki, N. and Kopliku, A. (2018). MPT: Suite Tools to Support Performance Tuning in NoSQL Systems.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 127-134. DOI: 10.5220/0006687601270134

@conference{iceis18,
author={M. El Malki. and H. Ben Hamadou. and N. El Malki. and A. Kopliku.},
title={MPT: Suite Tools to Support Performance Tuning in NoSQL Systems},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={127-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006687601270134},
isbn={978-989-758-298-1},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - MPT: Suite Tools to Support Performance Tuning in NoSQL Systems
SN - 978-989-758-298-1
AU - El Malki, M.
AU - Ben Hamadou, H.
AU - El Malki, N.
AU - Kopliku, A.
PY - 2018
SP - 127
EP - 134
DO - 10.5220/0006687601270134

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