Towards Performance Prediction in Massive Scale Datastores

Francisco Cruz, Fábio Coelho, Rui Oliveira

2016

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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