Internet of Things Data Storage Infrastructure in the Cloud Using NoSQL Databases
| Autor: | Mauri Ferrandin, Alex Sandro Roschildt Pinto, Brunno Vanelli, Adao Boava, Madalena Pereira da Silva, Guilherme Manerichi, Mario A. R. Dantas |
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| Rok vydání: | 2017 |
| Předmět: |
General Computer Science
Database business.industry Computer science media_common.quotation_subject Scale (chemistry) 020208 electrical & electronic engineering Information technology Cloud computing 02 engineering and technology computer.software_genre NoSQL Computer data storage 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing The Internet Quality (business) Electrical and Electronic Engineering business computer Wireless sensor network Computer network media_common |
| Zdroj: | IEEE Latin America Transactions. 15:737-743 |
| ISSN: | 1548-0992 |
| DOI: | 10.1109/tla.2017.7896402 |
| Popis: | The emergence of Wireless Sensor Network enabled the pervasive monitoring of local environments, however, to better suit the large scale requirements for Information Technology industry applications, the devices must be able to operate within the internet infrastructure. The IoT (Internet of Things) has emerged to fill this gap and deliver sensed data widely, therefore increasing the connectivity of the devices. However, the implementation and integration of IoT devices, data storage and the development of applications are still considered challenging. This paper presents an infrastructure for aggregating and storing data from different sources from IoT devices to the cloud. In order to evaluate the infrastructure regarding the quality in storage, it has been implemented and verified in an AAL (Ambient Assisted Living) case scenario, the main application being Human Biometeorology. The evaluation of metrics related to sending, receiving and storing data demonstrate that the infrastructure is suitable for the proposed system. |
| Databáze: | OpenAIRE |
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