DDFlasks: Deduplicated Very Large Scale Data Store

@inproceedings{Maia2017DDFlasksDV,
  title={DDFlasks: Deduplicated Very Large Scale Data Store},
  author={Francisco Maia and Jo{\~a}o Paulo and F{\'a}bio Coelho and Francisco Neves and J. Pereira and R. Oliveira},
  booktitle={DAIS},
  year={2017}
}
With the increasing number of connected devices, it becomes essential to find novel data management solutions that can leverage their computational and storage capabilities. However, developing very large scale data management systems requires tackling a number of interesting distributed systems challenges, namely continuous failures and high levels of node churn. In this context, epidemic-based protocols proved suitable and effective and have been successfully used to build DataFlasks, an… 

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