Structuration de données spatio-temporelles temps réel : vers la gestion de la saturation de la base de données

Abstract : The spatio-temporal databases in the monitoring systems of natural phenomena must be able to meet real-time requirements due to the semi-generalized use of sensor networks. The indexing method of the in-memory base, the core of this paper, must take into account several characteristics: primacy of the most recent data and updates queries, spatial positioning of the sensors, heavy charge load. Our first proposal, the PoTree, is designed for indexing data issued by fixed sensors. It keeps the data issued by a specific sensor in a dedicated temporal sub-tree A spatial tree helps in determining which sensor sub-tree is linked to a query. The PasTree, our second solution adds sensor agility management. It adds an abstraction layer in the sensor sub-trees and uses a multi-version spatial sub-tree. Experimental results have shown that both structures allowed indexing of masses of data issued by sensor networks.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01566845
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Submitted on : Friday, July 21, 2017 - 12:53:04 PM
Last modification on : Tuesday, February 26, 2019 - 4:25:31 PM

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  • HAL Id : hal-01566845, version 1

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Guillaume Noël, Sylvie Servigne. Structuration de données spatio-temporelles temps réel : vers la gestion de la saturation de la base de données. XXIVème Congrès INFORSID : Informatique des organisations et systèmes d'information et de décision, May 2006, 31 mai-3 juin 2006. Hammamet, Tunisie, France. pp.499-514. ⟨hal-01566845⟩

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