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Data Management Mechanisms for Internet of Things: A Position Paper

Authors :
Diallo Ousmane
Teodorov Ciprian
Dhaussy Philippe
University of Assane Seck
Lab-STICC_ENSTAB_ CACS_MOCS
Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC)
École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)
Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)
Institut Mines-Télécom [Paris] (IMT)
The American Council on Science and Education
IEEE Computer Society
Source :
CSCI 2019, CSCI 2019, The American Council on Science and Education, Dec 2019, Las Vegas, United States. pp.61, ⟨10.1109/CSCI49370.2019⟩
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

International audience; Internet of Things (IoT) is a network where several and various interconnected, smart objects continuously generate alarge amount of data transmitted over Internet. Several efforts and research works in IoT focused on hardware constraints, lowcost, application design, as well as good communication technologies. However, due to the intrinsic characteristics of diversity,heterogeneity, large-scale, dynamic and large volume of data generated and various IoT applications needs, using traditionaldatabase management mechanisms and analytics architectures is not generally suitable. Then, it is challenging to provideefficient IoT data storage and query processing mechanisms for satisfying IoT application needs. This paper identifies the mainspecifications and mechanisms of data and query management for IoT and classifies them. Moreover, this work presentsadvances on data and query management mechanisms on IoT, shows their advantages and limits and discusses the challengingopen research issues that need to be addressed for providing guidelines for further contributions.

Details

Database :
OpenAIRE
Journal :
2019 International Conference on Computational Science and Computational Intelligence (CSCI)
Accession number :
edsair.doi.dedup.....fd4483a9174bd8747c3ebf32781a1fa5