Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies

Sensors are becoming ubiquitous. From almost any type of industrial applications to intelligent vehicles, smart city applications, and healthcare applications, we see a steady growth of the usage of various types of sensors. The rate of increase in the amount of data produced by these sensors is muc...

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Vydáno v:Journal of sensors Ročník 2015; číslo 2015; s. 1 - 11
Hlavní autoři: Aydin, Galip, Karakus, Betul, Hallac, Ibrahim Riza
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cairo, Egypt Hindawi Publishing Corporation 01.01.2015
John Wiley & Sons, Inc
Témata:
Algorithms
Architecture (computers)
Clusters
Data processing
Data storage
Freeware
Health care
Intelligent vehicles
Sensors
ISSN:1687-725X, 1687-7268
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Shrnutí:Sensors are becoming ubiquitous. From almost any type of industrial applications to intelligent vehicles, smart city applications, and healthcare applications, we see a steady growth of the usage of various types of sensors. The rate of increase in the amount of data produced by these sensors is much more dramatic since sensors usually continuously produce data. It becomes crucial for these data to be stored for future reference and to be analyzed for finding valuable information, such as fault diagnosis information. In this paper we describe a scalable and distributed architecture for sensor data collection, storage, and analysis. The system uses several open source technologies and runs on a cluster of virtual servers. We use GPS sensors as data source and run machine-learning algorithms for data analysis.
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ISSN:1687-725X
1687-7268
DOI:10.1155/2015/834217