Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making
Joint Authors
Khan, Murad
Nathali Silva, Bhagya
Han, Kijun
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
The concept of the smart city is widely favored, as it enhances the quality of life of urban citizens, involving multiple disciplines, that is, smart community, smart transportation, smart healthcare, smart parking, and many more.
Continuous growth of the complex urban networks is significantly challenged by real-time data processing and intelligent decision-making capabilities.
Therefore, in this paper, we propose a smart city framework based on Big Data analytics.
The proposed framework operates on three levels: (1) data generation and acquisition level collecting heterogeneous data related to city operations, (2) data management and processing level filtering, analyzing, and storing data to make decisions and events autonomously, and (3) application level initiating execution of the events corresponding to the received decisions.
In order to validate the proposed architecture, we analyze a few major types of dataset based on the proposed three-level architecture.
Further, we tested authentic datasets on Hadoop ecosystem to determine the threshold and the analysis shows that the proposed architecture offers useful insights into the community development authorities to improve the existing smart city architecture.
American Psychological Association (APA)
Nathali Silva, Bhagya& Khan, Murad& Han, Kijun. 2017. Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1206352
Modern Language Association (MLA)
Nathali Silva, Bhagya…[et al.]. Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1206352
American Medical Association (AMA)
Nathali Silva, Bhagya& Khan, Murad& Han, Kijun. Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1206352
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206352