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Title: DATAFLASKS: an epidemic dependable key-value substrate
Authors: Francisco Almeida Maia
Miguel Marques Matos
Ricardo Pereira Vilaça
José Orlando Pereira
Rui Carlos Oliveira
Issue Date: 2013
Abstract: Recently, 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.
metadata.dc.type: conferenceObject
Appears in Collections:HASLab - Other Publications

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