
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 / ConférenceConference title
Computational Science – ICCS 2020. 20th International ConferenceConference date
2020-06Conference city
AmsterdamConference country
NetherlandsBook 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
Show full item recordAuthor(s)
Manouvrier, Maude
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 consistencyRelated items
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