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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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Authors

Zaheer Khan Zaheer2.Khan@uwe.ac.uk
Professor in Computer Science

Ashiq Anjum

Profile image of Kamran Soomro

Dr Kamran Soomro Kamran.Soomro@uwe.ac.uk
Associate Professor of Artificial Intelligence

Muhammad Atif Tahir



Abstract

© 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.

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
DOI https://doi.org/10.1186/s13677-015-0026-8
Keywords big data, data mining and analytics, smart city, cloud computing
Public URL https://uwe-repository.worktribe.com/output/838410
Publisher URL http://dx.doi.org/10.1186/s13677-015-0026-8
Related Public URLs http://www.journalofcloudcomputing.com
http://www.journalofcloudcomputing.com/content/4/1/2
Contract Date Feb 11, 2016

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