Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/34365

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dc.contributor.authorMaia, Franciscopor
dc.contributor.authorMatos, Miguelpor
dc.contributor.authorVilaça, Ricardo Manuel Pereirapor
dc.contributor.authorPereira, Josépor
dc.contributor.authorOliveira, Rui Carlos Mendes depor
dc.contributor.authorEtienne Rivierepor
dc.date.accessioned2015-03-16T10:46:32Z-
dc.date.available2015-03-16T10:46:32Z-
dc.date.issued2013-
dc.identifier.isbn9781467364713por
dc.identifier.issn1530-0889-
dc.identifier.urihttps://hdl.handle.net/1822/34365-
dc.description.abstractRecently, tuple-stores have become pivotal struc- tures 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.por
dc.description.sponsorship(undefined)por
dc.language.isoengpor
dc.publisherIEEEpor
dc.rightsopenAccesspor
dc.subjectDependabilitypor
dc.subjectEpidemic protocolspor
dc.subjectDistributed systemspor
dc.subjectLarge scale data storespor
dc.titleDataFlasks : an epidemic dependable key-value substratepor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.comments905por
sdum.publicationstatuspublishedpor
oaire.citationStartPage1por
oaire.citationEndPage6por
oaire.citationTitleInternational Conference on Dependable Systems and Networkspor
dc.publisher.uriIEEEpor
dc.identifier.doi10.1109/DSN.2013.6575326por
sdum.conferencePublicationInternational Conference on Dependable Systems and Networkspor
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