An autonomic mediation framework for complex physical environments

Philippe Lalanda 1, * Catherine Hamon
* Auteur correspondant
1 LIG Laboratoire d'Informatique de Grenoble - ADELE
LIG - Laboratoire d'Informatique de Grenoble
Abstract : The term Big Data refers to large amounts of data coming from multiple resources, and to the techniques used to collect, manage and analyze them. In this paper, we focus of the collection of such data in complex physical environments like digital houses, smart buildings or connected plants. Precisely, we present a distributed, autonomic mediation framework named Cilia. This framework facilitates the design and deployment of mediation chains and their management at runtime. We also present a motivating example in the field of smart building and we explain why autonomic features are absolutely necessary in domains characterized by important environmental dynamism and by evolving needs of decisionmakers. Cilia is currently validated in collaborative projects with the Orange Labs.
Type de document :
Communication dans un congrès
IEEE International Conference on Big Data, Jun 2014, Anchorage, United States. 2014
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https://hal.archives-ouvertes.fr/hal-00991025
Contributeur : Vincent Lestideau <>
Soumis le : mercredi 14 mai 2014 - 15:36:26
Dernière modification le : jeudi 11 octobre 2018 - 08:48:03

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  • HAL Id : hal-00991025, version 1

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Philippe Lalanda, Catherine Hamon. An autonomic mediation framework for complex physical environments. IEEE International Conference on Big Data, Jun 2014, Anchorage, United States. 2014. 〈hal-00991025〉

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