loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Andrea Hillenbrand 1 ; 2 and Uta Störl 2

Affiliations: 1 Darmstadt University of Applied Sciences, Darmstadt, Germany ; 2 University of Hagen, Hagen, Germany

Keyword(s): Databases, NoSQL, Data Migration, Schema Evolution, Schema Migration, Automated Curation.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.15.59.163

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 - MODELSWARD; ISBN 978-989-758-550-0; ISSN 2184-4348, SciTePress, pages 279-286. DOI: 10.5220/0010891300003119

@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 - MODELSWARD},
year={2022},
pages={279-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010891300003119},
isbn={978-989-758-550-0},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD
TI - Automated Curation of Variational Data in NoSQL Databases through Metric-driven Self-adaptive Migration Strategies
SN - 978-989-758-550-0
IS - 2184-4348
AU - Hillenbrand, A.
AU - Störl, U.
PY - 2022
SP - 279
EP - 286
DO - 10.5220/0010891300003119
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic