Khan, Zaheer, Anjum, Ashiq, Soomro, Kamran and Tahir, Muhammad (2015) Towards cloud based big data analytics for smart future cities. Journal of Cloud Computing, 4 (1). p. 2. ISSN 2192-113X
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Abstract
A large amount of land-use, environment, socio-economic, energy and transport data is generated in cities. An integrated perspective of managing and analysing such big data can answer a number of science, policy, planning, governance and business questions and support decision making in enabling a smarter environment. This paper presents a theoretical and experimental perspective on the smart cities focused big data management and analysis by proposing a cloud-based analytics service. A prototype has been designed and developed to demonstrate the effectiveness of the analytics service for big data analysis. The prototype has been implemented using Hadoop and Spark and the results are compared. The service analyses the Bristol Open data by identifying correlations between selected urban environment indicators. Experiments are performed using Hadoop and Spark and results are presented in this paper. The data pertaining to quality of life mainly crime and safety & economy and employment was analysed from the data catalogue to measure the indicators spread over years to assess positive and negative trends.
Item Type: | Article |
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Uncontrolled Keywords: | Big data, data mining and analytics, smart city, cloud computing |
Subjects: | G400 Computer Science |
Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
Depositing User: | Becky Skoyles |
Date Deposited: | 20 Apr 2015 08:06 |
Last Modified: | 17 Dec 2023 16:36 |
URI: | https://nrl.northumbria.ac.uk/id/eprint/22087 |
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