Automated Database Schema Evolution in Microservices

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Résumé

Microservices architecture has emerged as a dominant model for designing cloud-based applications. In this architecture, modular and heterogeneous services, independently deployed and sometimes geo-distributed, dynamically scale and interact with each other to respond to user requests. Typically, each service has its own database(s) and shares information through APIs calls.
Facilitating software evolution is one of the main motivations for adopting a microservices architecture. Paradoxically, from a database point of view, recent surveys reveal that database schema evolution remains among the most pressing data management challenges for microservices architecture developers. While there are many tools available in the literature for supporting the evolution of microservices architecture, none of them is specifically designed to address the problem of database schema evolution.
To tackle this challenge, the primary objective of this PhD thesis is to provide developers with a set of effective and efficient tools for automatically supporting database schema evolution in microservices architecture, thereby reducing their burden in cloud-based applications evolution.
langue originaleAnglais
titreProceedings of the 49th International Conference on Very Large Data Bases (VLDB 2023)
Sous-titrePhD Workshop track
Lieu de publicationVancouver, Canada
EditeurCEUR Workshop Proceedings
Pages37
Nombre de pages40
Volume3452
Etat de la publicationPublié - 2023
Evénement49th International Conference on Very Large Data Bases - Vancouver, Canada
Durée: 28 août 20231 sept. 2023
https://vldb.org/2023/

Série de publications

NomCEUR Workshop Proceedings
EditeurCEUR-WS
ISSN (imprimé)1613-0073

Une conférence

Une conférence49th International Conference on Very Large Data Bases
Titre abrégéVLDB 2023
Pays/TerritoireCanada
La villeVancouver
période28/08/231/09/23
Adresse Internet

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