Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4395
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dc.contributor.authorFrancisco Almeida Maiaen
dc.contributor.authorMiguel Marques Matosen
dc.contributor.authorRicardo Pereira Vilaçaen
dc.contributor.authorJosé Orlando Pereiraen
dc.contributor.authorRui Carlos Oliveiraen
dc.contributor.authorRiviere,Een
dc.date.accessioned2017-12-20T11:53:43Z-
dc.date.available2017-12-20T11:53:43Z-
dc.date.issued2013en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/4395-
dc.identifier.urihttp://dx.doi.org/10.1109/dsn.2013.6575326en
dc.description.abstractRecently, 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.en
dc.languageengen
dc.relation5614en
dc.relation5594en
dc.relation5635en
dc.relation5602en
dc.relation5622en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleDATAFLASKS: an epidemic dependable key-value substrateen
dc.typeconferenceObjecten
dc.typePublicationen
Appears in Collections:HASLab - Other Publications

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