Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/37805

TitleDATAFLASKS: epidemic store for massive scale systems
Author(s)Maia, Francisco
Matos, Miguel
Vilaça, Ricardo Manuel Pereira
Pereira, José
Oliveira, Rui Carlos Mendes de
Riviere, Etienne
Keywordsnosql
cloud
Dependability
Epidemic protocols
Distributed systems
Large scale data stores
Issue date2014
PublisherIEEE
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/37805
DOI10.1109/SRDS.2014.34
Publisher versionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6983382
Peer-Reviewedyes
AccessOpen access
Appears in Collections:HASLab - Artigos em atas de conferências internacionais (texto completo)

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