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DATAFLASKS: an epidemic dependable key-value substrate
Auteur(s)
Maia, Francisco
Matos, Miguel
Vilaça, Ricardo
Pereira, José
Oliveira, Rui
Maison d'édition
: IEEE
Date de parution
2013-6-30
Résumé
Recently, tuple-stores have become pivotal structures in many information systems. Their ability to handle large datasets makes them important in an era with unprecedented amounts of data being produced and exchanged. However, these tuple-stores typically rely on structured peer-to-peer protocols which assume moderately stable environments. Such assumption does not always hold for very large scale systems sized in the scale of thousands of machines. In this paper we present a novel approach to the design of a tuple-store. Our approach follows a stratified design based on an unstructured substrate. We focus on this substrate and how the use of epidemic protocols allow reaching high dependability and scalability.
Notes
, 2013
Nom de l'événement
DCDV'13: The Third International Workshop on Dependability of Clouds, Data Centers and Virtual Machine Technology (co-located with DSN'13)
Lieu
Budapest, Hungary
Identifiants
Type de publication
conference paper
