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Authors: Etienne Mauffret ; Elise Jeanneau and Eddy Caron

Affiliation: UMR CNRS, ENS Lyon, UCB Lyon 1, Inria 5668, Lyon, France

Keyword(s): Distributed Systems, Autonomous Data, Data Management, Multi-Agents System.

Abstract: With the rise of Data as a Service, companies understood that whoever controls the data has the power. The past few years have exposed some of the weakenesses of traditional data management systems. For example, application owner can collect and use data to their own advantage without the user’s consent. We introduce in this paper the SkyData concept, which revolves around autonomous data evolving in a distributed system. This new paradigm is a complete break from traditional data management systems. In this paper we will show a way to define autonomous data as well as some challenges associated with their specificities.

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Paper citation in several formats:
Mauffret, E.; Jeanneau, E. and Caron, E. (2023). SkyData: Rise of the Data How Can the Intelligent and Autonomous Data Paradigm Become Real?. In Proceedings of the 13th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-650-7; ISSN 2184-5042, SciTePress, pages 164-171. DOI: 10.5220/0011749900003488

@conference{closer23,
author={Etienne Mauffret. and Elise Jeanneau. and Eddy Caron.},
title={SkyData: Rise of the Data How Can the Intelligent and Autonomous Data Paradigm Become Real?},
booktitle={Proceedings of the 13th International Conference on Cloud Computing and Services Science - CLOSER},
year={2023},
pages={164-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011749900003488},
isbn={978-989-758-650-7},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Cloud Computing and Services Science - CLOSER
TI - SkyData: Rise of the Data How Can the Intelligent and Autonomous Data Paradigm Become Real?
SN - 978-989-758-650-7
IS - 2184-5042
AU - Mauffret, E.
AU - Jeanneau, E.
AU - Caron, E.
PY - 2023
SP - 164
EP - 171
DO - 10.5220/0011749900003488
PB - SciTePress

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