Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4391
Title: DATAFLASKS: Epidemic store for massive scale systems
Authors: Francisco Almeida Maia
Miguel Marques Matos
Ricardo Pereira Vilaça
José Orlando Pereira
Rui Carlos Oliveira
Rivière,E
Issue Date: 2014
Abstract: Very large scale distributed systems provide some of the most interesting research challenges while at the same time being increasingly required by nowadays applications. The escalation in the amount of connected devices and data being produced and exchanged, demands new data management systems. Although new data stores are continuously being proposed, they are not suitable for very large scale environments. The high levels of churn and constant dynamics found in very large scale systems demand robust, proactive and unstructured approaches to data management. In this paper we propose a novel data store solely based on epidemic (or gossip-based) protocols. It leverages the capacity of these protocols to provide data persistence guarantees even in highly dynamic, massive scale systems. We provide an open source prototype of the data store and correspondent evaluation. © 2014 IEEE.
URI: http://repositorio.inesctec.pt/handle/123456789/4391
http://dx.doi.org/10.1109/srds.2014.34
metadata.dc.type: conferenceObject
Publication
Appears in Collections:HASLab - Indexed Articles in Conferences

Files in This Item:
File Description SizeFormat 
P-00A-8X2.pdf363.44 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.