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Title: Towards Quantifiable Eventual Consistency
Authors: Francisco Almeida Maia
Miguel Marques Matos
Fábio André Coelho
Issue Date: 2016
Abstract: In the pursuit of highly available systems, storage systems began offering eventually consistent data models. These models are suitable for a number of applications but not applicable for all. In this paper we discuss a system that can offer a eventually consistent data model but can also, when needed, offer a strong consistent one.
metadata.dc.type: conferenceObject
Appears in Collections:HASLab - Articles in International Conferences

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