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Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management

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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Type
Communication / Conférence
Conference title
Computational Science – ICCS 2020. 20th International Conference
Conference date
2020-06
Conference city
Amsterdam
Conference country
Netherlands
Book author
Krzhizhanovskaya, Valeria V.; Závodszky, Gábor; Lees, Michael H.
Publisher
Springer International Publishing
Published in
Berlin Heidelberg
ISBN
978-3-030-50416-8; 978-3-030-50417-5
Pages
482-495
Publication identifier
Metadata
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Author(s)
Manouvrier, Maude cc
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]
Abstract (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.
Subjects / Keywords
Microservices; Referential integrity; Backup; Weak global consistency