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DATAFLASKS: epidemic store for massive scale systems
Auteur(s)
Maia, Francisco
Matos, Miguel
Vilaça, Ricardo
Pereira, José
Oliveira, Rui
Maison d'édition
: IEEE
Date de parution
2014-10-6
De la page
79
A la page
88
Résumé
Very large scale distributed systems provide some of the most interesting research challenges while at the same time being increasingly required by nowadays applications. The escalation in the amount of connected devices and data being produced and exchanged, demands new data management systems. Although new data stores are continuously being proposed, they are not suitable for very large scale environments. The high levels of churn and constant dynamics found in very large scale systems demand robust, proactive and unstructured approaches to data management. In this paper we propose a novel data store solely based on epidemic (or gossip-based) protocols. It leverages the capacity of these protocols to provide data persistence guarantees even in highly dynamic, massive scale systems. We provide an open source prototype of the data store and correspondent evaluation.
Notes
, 2014
Nom de l'événement
SRDS'14: The 33rd IEEE International Symposium on Reliable Distributed Systems
Lieu
Nara, Japan
Identifiants
Type de publication
conference paper
