Towards Quantifiable Eventual Consistency

Citation:
Maia F, Matos M, Coelho F.  2016.  Towards Quantifiable Eventual Consistency. Proceedings of the 6th International Conference on Cloud Computing and Services Science. :368-370.

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.

Notes:

n/a

Citation Key:

datadiversityconvergence16
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