Cloud Based Big Data Analytics for Smart Future Cities
Open accessAbstract
ICT is becoming increasingly pervasive to urban environments and providing the necessary basis for sustainability and resilience of the smart future cities. Often ICT tools for a smart city deal with different application domains e.g. land use, transport, energy, and rarely provide an integrated information perspective to deal with sustainability and socioeconomic growth of the city. Smart cities can benefit from such information using Big, and often real-time cross-thematic, data collection, processing, integration and sharing through inter-operable services deployed in a Cloud environment. However, such information utilisation requires appropriate software tools, services and technologies to collect, store, analyse and visualise large amounts of data from the city environment, citizens and various departments and agencies at city scale. This paper presents a theoretical perspective on the smart cities focused Big data processing and analysis by proposing a Cloud-based analysis service that can be further developed to generate information intelligence and support decision-making in smart future cities context.
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There are smart city strategies that focus on the efficiency and advancement of hard infrastructures (e.g., transport, energy, communication, distribution networks) and those that prioritise soft infrastructures (e.g., social and human capital, participation, equity, safety, cultural heritage).
“In other words, there are smart city strategies that focus on the efficiency and advancement of hard infrastructures in terms of transport, energy, communication, and distribution networks, and so on (e.g., [45,52,74,79,83,93]) and those that prioritise the soft infrastructures in terms of social and human capital, participation, equity, safety, cultural heritage, and so forth (e.g., [7,17,75,76,8”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [74]
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- Authors
- Khan, Z., Anjum, A., & Kiani, S. L.
- Affiliations
- University of the West of England (GB)
- University of Derby (GB)
- Venue
- 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
- Publisher
- IEEE
- Published
- 2013-12
- Pages
- 381-386
- OpenAlex
- W2059124315
- Cited by
- 176
- References
- 22
- Citations by year
- 2025: 7 · 2024: 9 · 2023: 9 · 2022: 11 · 2021: 18 · 2020: 22 · 2019: 16 · 2018: 28 · 2017: 27 · 2016: 19 · 2015: 6 · 2014: 4
- FWCI
- 16.26
- Type
- conference paper
- Language
- en
- Open access
- green
- eprints.uwe.ac.uk
- Licence
- cc-by
- Locations
- IEEE/ACM International Conference on Utility and Cloud Computing (UCC) (publishedVersion)
- UWE Research Repository (UWE Bristol) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Physical Sciences › Computer Science › Information Systems › AI and Big Data Applications
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- smart cities, big data analytics, cloud computing, urban data integration, real-time data acquisition, decision support, urban sustainability, information intelligence, data visualization
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