Boosting Performance and Scalability in Cloud-deployed Databases

J. E. Armendáriz-Iñigo, J. Legarrea, J. R. González de Mendívil, A. Azqueta-Alzúaz, M. Louis-Rodriguez, I. Arrieta-Salinas, F. D. Muñoz-Escoí

2013

Abstract

Eventual consistency improves the scalability of large datasets in cloud systems. We propose a novel technique for managing different levels of replica consistency in a replicated relational DBMS. To this end, data is partitioned and managed by a partial replication protocol that is able to define a hierarchy of nodes with a lazy update propagation. Nodes in different layers of the hierarchy may maintain different versions of their assigned partitions. Transactions are tagged with an allowance parameter k that specifies the maximum degree of data outdatedness tolerated by them. As a result, different degrees of transaction criticality can be set and non-critical transactions may be completed without blocking nor compromising the critical ones.

References

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Paper Citation


in Harvard Style

E. Armendáriz-Iñigo J., Legarrea J., R. González de Mendívil J., Azqueta-Alzúaz A., Louis-Rodriguez M., Arrieta-Salinas I. and D. Muñoz-Escoí F. (2013). Boosting Performance and Scalability in Cloud-deployed Databases . In Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8565-52-5, pages 525-528. DOI: 10.5220/0004405605250528


in Bibtex Style

@conference{closer13,
author={J. E. Armendáriz-Iñigo and J. Legarrea and J. R. González de Mendívil and A. Azqueta-Alzúaz and M. Louis-Rodriguez and I. Arrieta-Salinas and F. D. Muñoz-Escoí},
title={Boosting Performance and Scalability in Cloud-deployed Databases},
booktitle={Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2013},
pages={525-528},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004405605250528},
isbn={978-989-8565-52-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Boosting Performance and Scalability in Cloud-deployed Databases
SN - 978-989-8565-52-5
AU - E. Armendáriz-Iñigo J.
AU - Legarrea J.
AU - R. González de Mendívil J.
AU - Azqueta-Alzúaz A.
AU - Louis-Rodriguez M.
AU - Arrieta-Salinas I.
AU - D. Muñoz-Escoí F.
PY - 2013
SP - 525
EP - 528
DO - 10.5220/0004405605250528