@conference {datadiversityconvergence16,
	title = {Towards Quantifiable Eventual Consistency},
	booktitle = {Proceedings of the 6th International Conference on Cloud Computing and Services Science},
	year = {2016},
	note = {<p>n/a</p>
},
	pages = {368-370},
	abstract = {<p>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.</p>
},
	isbn = {978-989-758-182-3},
	doi = {10.5220/0005929103680370},
	attachments = {https://haslab.uminho.pt/sites/default/files/fmaia/files/datadiversityconvergence_2016_5.pdf},
	author = {Francisco Maia and Miguel Matos and F{\'a}bio Coelho}
}