%0 Conference Paper
%B Proceedings of the 3rd International Workshop on Dependability of Clouds, Data Centers and Virtual Computing Environments (with DSN 2013)
%D 2013
%T DataFlasks: an epidemic dependable key-value substrate
%A Francisco Maia
%A Miguel Matos
%A Ricardo Vilaça
%A José Orlando Pereira
%A Rui Oliveira
%A Etienne Rivière
%C Budapest, Hungary
%I IEEE
%X <p>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.</p>
%8 June
%> https://haslab.uminho.pt/sites/default/files/rco/files/dataflasks_dcdv13.pdf