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### (fr) Garage, un système de stockage de données géo-distribué léger et robuste | ||
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Garage est un système de stockage de données léger, géo-distribué, qui | ||
implémente le protocole de stockage S3 de Amazon. Garage est destiné | ||
principalement à l'auto-hébergement sur du matériel courant d'occasion. À ce | ||
titre, il doit tolérer un grand nombre de pannes: coupures de courant, coupures | ||
de connexion Internet, pannes de machines, ... Il doit également être facile à | ||
déployer et à maintenir, afin de pouvoir être facilement utilisé par des | ||
amateurs ou des petites organisations. | ||
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Cette présentation vous proposera un aperçu de Garage et du choix technique | ||
principal qui rend un système comme Garage possible: le refus d'utiliser des | ||
algorithmes de consensus, remplacés avantageusement par des méthodes à | ||
cohérence faible. Notre modèle est fortement inspiré de la base de donnée | ||
Dynamo (DeCandia et al, 2007), et fait usage des types de données CRDT (Shapiro | ||
et al, 2011). Nous exploreront comment ces méthodes s'appliquent à la | ||
construction de l'abstraction "stockage objet" dans un système distribué, et | ||
quelles autres abstractions peuvent ou ne peuvent pas être construites dans ce | ||
modèle. | ||
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### (en) Garage, a lightweight and robust geo-distributed data storage system | ||
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Garage is a lightweight geo-distributed data store that implements the Amazon | ||
S3 object storage protocol. Garage is meant primarily for self-hosting at home | ||
on second-hand commodity hardware, meaning it has to tolerate a wide variety of | ||
failure scenarios such as power cuts, Internet disconnections and machine | ||
crashes. It also has to be easy to deploy and maintain, so that hobbyists and | ||
small organizations can use it without trouble. | ||
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This talk will present Garage and the key technical choice that made Garage | ||
possible: refusing to use consensus algorithms and using instead weak | ||
consistency methods, with a model that is loosely based on that of the Dynamo | ||
database (DeCandia et al, 2007) and that makes heavy use of conflict-free | ||
replicated data types (Shapiro et al, 2011). We will explore how these methods | ||
are suited to building the "object store" abstraction in a distributed system, | ||
and what other abstractions are possible or impossible to build in this model. | ||
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