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Towards cloud based big data analytics for smart future cities

Khan, Zaheer; Anjum, Ashiq; Soomro, Kamran; Tahir, Muhammad Atif

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Zaheer Khan
Professor in Computer Science

Ashiq Anjum

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Dr Kamran Soomro
Associate Professor of Artificial Intelligence

Muhammad Atif Tahir


© 2015, Khan et al.; licensee Springer. 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.


Khan, Z., Anjum, A., Soomro, K., & Tahir, M. A. (2015). Towards cloud based big data analytics for smart future cities. Journal of Cloud Computing: Advances, Systems and Applications, 4, Article 2.

Journal Article Type Article
Acceptance Date Jan 7, 2015
Online Publication Date Feb 18, 2015
Publication Date Feb 18, 2015
Deposit Date Jan 9, 2015
Publicly Available Date Feb 11, 2016
Journal Journal of Cloud Computing
Electronic ISSN 2192-113X
Publisher SpringerOpen
Peer Reviewed Peer Reviewed
Volume 4
Article Number 2
Keywords big data, data mining and analytics, smart city, cloud computing
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