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Authors: Francisco Cruz ; Fábio Coelho and Rui Oliveira

Affiliation: INESC TEC & Universidade do Minho, Portugal

ISBN: 978-989-758-182-3

Keyword(s): Performance, Cloud Computing, NoSQL Databases.

Abstract: Buffer caching mechanisms are paramount to improve the performance of today’s massive scale NoSQL databases. In this work, we show that in fact there is a direct and univocal relationship between the resource usage and the cache hit ratio in NoSQL databases. In addition, this relationship can be leveraged to build a mechanism that is able to estimate resource usage of the nodes composing the NoSQL cluster.

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Paper citation in several formats:
Cruz, F.; Coelho, F. and Oliveira, R. (2016). Towards Performance Prediction in Massive Scale Datastores.In Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016) ISBN 978-989-758-182-3, pages 371-373. DOI: 10.5220/0005929203710373

@conference{datadiversityconvergence16,
author={Francisco Cruz. and Fábio Coelho. and Rui Oliveira.},
title={Towards Performance Prediction in Massive Scale Datastores},
booktitle={Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016)},
year={2016},
pages={371-373},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005929203710373},
isbn={978-989-758-182-3},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016)
TI - Towards Performance Prediction in Massive Scale Datastores
SN - 978-989-758-182-3
AU - Cruz, F.
AU - Coelho, F.
AU - Oliveira, R.
PY - 2016
SP - 371
EP - 373
DO - 10.5220/0005929203710373

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