Automated Curation of Variational Data in NoSQL Databases through Metric-driven Self-adaptive Migration Strategies

Andrea Hillenbrand, Andrea Hillenbrand, Uta Störl

2022

Abstract

Schema-flexible NoSQL databases have become popular backends in agile development. They allow developers to write code flexibly while assuming a new database schema different from the current one. The co-evolution of the schema with the software code, together with requirements for performance and cost efficiency, require subtle management decisions regarding the migration of variational legacy data persisted in the production database. Project managers have to deal with the consequences of schema evolution in order to comply with service-level agreements, especially if metrics specified in the SLAs compete with each other in tradeoffs. We present self-adaptive schema migration strategies that curate just as much variational data so that competing metrics can be balanced out, thus making continuous management interventions superfluous.

Paper Citation

in Harvard Style

Hillenbrand A. and Störl U. (2022). Automated Curation of Variational Data in NoSQL Databases through Metric-driven Self-adaptive Migration Strategies. In Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-550-0, pages 279-286. DOI: 10.5220/0010891300003119

in Bibtex Style

@conference{modelsward22,
author={Andrea Hillenbrand and Uta Störl},
title={Automated Curation of Variational Data in NoSQL Databases through Metric-driven Self-adaptive Migration Strategies},
booktitle={Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2022},
pages={279-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010891300003119},
isbn={978-989-758-550-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Automated Curation of Variational Data in NoSQL Databases through Metric-driven Self-adaptive Migration Strategies
SN - 978-989-758-550-0
AU - Hillenbrand A.
AU - Störl U.
PY - 2022
SP - 279
EP - 286
DO - 10.5220/0010891300003119