<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Francisco Maia</style></author><author><style face="normal" font="default" size="100%">Miguel Matos</style></author><author><style face="normal" font="default" size="100%">Ricardo Vilaça</style></author><author><style face="normal" font="default" size="100%">José Orlando Pereira</style></author><author><style face="normal" font="default" size="100%">Rui Oliveira</style></author><author><style face="normal" font="default" size="100%">Etienne Rivière</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">DataFlasks: an epidemic dependable key-value substrate</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 3rd International Workshop on Dependability of Clouds, Data Centers and Virtual Computing Environments (with DSN 2013)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://haslab.uminho.pt/sites/default/files/rco/files/dataflasks_dcdv13.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest, Hungary</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Recently, 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.&lt;/p&gt;
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