1. Data Management Mechanisms for Internet of Things: A Position Paper
- Author
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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, and IEEE Computer Society
- Subjects
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR] ,[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] ,Distributed database ,IoT data types ,Smart objects ,Computer science ,business.industry ,Data management ,Internet of Things ,[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS] ,020208 electrical & electronic engineering ,05 social sciences ,050301 education ,02 engineering and technology ,Data science ,Analytics ,Computer data storage ,0202 electrical engineering, electronic engineering, information engineering ,Position paper ,The Internet ,Key challenges ,business ,0503 education - 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.
- Published
- 2019