• français
    • English
  • English 
    • français
    • English
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.
BIRD Home

Browse

This CollectionBy Issue DateAuthorsTitlesSubjectsJournals BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesSubjectsJournals

My Account

Login

Statistics

View Usage Statistics

Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management

Thumbnail
View/Open
Microservice_Disaster.pdf (741.4Kb)
Notes
LNCS volume 12138
Dewey
Programmation, logiciels, organisation des données
Sujet
Microservices; Referential integrity; Backup; Weak global consistency
DOI
http://dx.doi.org/10.1007/978-3-030-50417-5_36
Conference name
Computational Science – ICCS 2020. 20th International Conference
Conference date
06-2020
Conference city
Amsterdam
Conference country
Netherlands
Author
Krzhizhanovskaya, Valeria V.; Závodszky, Gábor; Lees, Michael H.
Publisher
Springer International Publishing
Publisher city
Berlin Heidelberg
ISBN
978-3-030-50416-8; 978-3-030-50417-5
Book URL
10.1007/978-3-030-50417-5
URI
https://basepub.dauphine.fr/handle/123456789/20896
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Manouvrier, Maude
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Pautasso, Cesare
155422 Faculty of Informatics [Lugano]
Rukoz, Marta
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
482-495
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.

  • Accueil Bibliothèque
  • Site de l'Université Paris-Dauphine
  • Contact
SCD Paris Dauphine - Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16

 Content on this site is licensed under a Creative Commons 2.0 France (CC BY-NC-ND 2.0) license.