Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies
Joint Authors
Aydin, Galip
Hallac, Ibrahim Riza
Karakus, Betul
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Aydin, Galip& Hallac, Ibrahim Riza& Karakus, Betul. 2015. Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies. Journal of Sensors،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1070205
Modern Language Association (MLA)
Aydin, Galip…[et al.]. Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies. Journal of Sensors No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1070205
American Medical Association (AMA)
Aydin, Galip& Hallac, Ibrahim Riza& Karakus, Betul. Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1070205
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070205