Título:	Distributed data service for data management in internet of things middleware
Autor(es):	Cruz Huacarpuma, Ruben Sousa Junior, Rafael Timoteo de Holanda, Maristela Albuquerque, Robson de Oliveira García Villalba, Luis Javier Kim, Tai-Hoon
Assunto:	Sistemas de coleta automática de dados Banco de dados Internet das Coisas (IoT)
Data de publicação:	27-Abr-2017
Editora:	MDPI
Referência:	CRUZ HUACARPUMA, Ruben et al. Distributed data service for data management in internet of things middleware. Sensors, Basel, Suiça, v. 17, n. 5, Article 977, 2017. Disponível em: <http://www.mdpi.com/1424-8220/17/5/977>. Acesso em: 18 out. 2017. doi: 10.3390/s17050977.
Abstract:	The development of the Internet of Things (IoT) is closely related to a considerable increase in the number and variety of devices connected to the Internet. Sensors have become a regular component of our environment, as well as smart phones and other devices that continuously collect data about our lives even without our intervention. With such connected devices, a broad range of applications has been developed and deployed, including those dealing with massive volumes of data. In this paper, we introduce a Distributed Data Service (DDS) to collect and process data for IoT environments. One central goal of this DDS is to enable multiple and distinct IoT middleware systems to share common data services from a loosely-coupled provider. In this context, we propose a new specification of functionalities for a DDS and the conception of the corresponding techniques for collecting, filtering and storing data conveniently and efficiently in this environment. Another contribution is a data aggregation component that is proposed to support efficient real-time data querying. To validate its data collecting and querying functionalities and performance, the proposed DDS is evaluated in two case studies regarding a simulated smart home system, the first case devoted to evaluating data collection and aggregation when the DDS is interacting with the UIoT middleware, and the second aimed at comparing the DDS data collection with this same functionality implemented within the Kaa middleware.
Licença:	© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Fonte: http://www.mdpi.com/1424-8220/17/5/977. Acesso em: 18 out. 2017.
DOI:	https://dx.doi.org/10.3390/s17050977
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