Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management

Manouvrier, Maude; Pautasso, Cesare; Rukoz, Marta

Manouvrier, Maude; Pautasso, Cesare; Rukoz, Marta, Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management, Computational Science – ICCS 2020. 20th International Conference, 2020-06, Amsterdam, Netherlands

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Microservice_Disaster.pdf (741.4Kb)

Type

Communication / Conférence

Titre du colloque

Computational Science – ICCS 2020. 20th International Conference

Date du colloque

2020-06

Ville du colloque

Amsterdam

Pays du colloque

Netherlands

Auteurs de l’ouvrage

Krzhizhanovskaya, Valeria V.; Závodszky, Gábor; Lees, Michael H.

Éditeur

Springer International Publishing

Ville d’édition

Berlin Heidelberg

Isbn

978-3-030-50416-8; 978-3-030-50417-5

Pages

482-495

Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Pautasso, Cesare
Faculty of Informatics [Lugano]
Rukoz, Marta
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]

Résumé (EN)

Microservices which use polyglot persistence (using multiple data storage techniques) cannot be recovered in a consistent state from backups taken independently. As a consequence, references across microservice boundaries may break after disaster recovery. In this paper, we give a weak global consistency definition for microservice architectures and present a recovery protocol which takes advantage of cached referenced data to reduce the amnesia interval for the recovered microservice, i.e., the time interval after the most recent backup, during which state changes may have been lost.

Mots-clés

Microservices; Referential integrity; Backup; Weak global consistency