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An architecture for integrated intelligence in urban management using cloud computing

Khan, Zaheer; Ludlow, David; McClatchey, Richard; Anjum, Ashiq

Authors

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

David Ludlow David.Ludlow@uwe.ac.uk
Professor in European Smart Cities

Ashiq Anjum



Abstract

With the emergence of new methodologies and technologies it has now become possible to manage large amounts of environmental sensing data and apply new integrated computing models to acquire information intelligence. This paper advocates the application of cloud technologies to support the information, communication and decision making needs of a wide variety of stakeholders in the complex business of the management of urban and regional development. The complexity is evident in the socio-economic and environmental interactions and impacts embodied in the concept of the urban-ecosystem. This highlights the need for more effective integrated environmental management systems. A key to understanding the nature of integrated environmental management systems is the identification of the need for horizontal integration of information across sectoral inter-agency boundaries at the local level, and the need for vertical coordination between levels of governance. This paper offers a user-oriented approach to the specification of requirements for the effective management of urban areas and the potential contributions that can be supported by cloud computing. The commonality of the influence of the drivers of change at the urban level offers the opportunity for the cloud computing community to develop generic solutions that can serve the needs of hundreds of cities throughout Europe and indeed globally. In this respect, different cloud based architecture scenarios are presented which utilise capabilities compliant to various standards in generating information and intelligence for urban governance. © 2012 Khan et al; licensee Springer.

Journal Article Type Article
Publication Date Jan 1, 2012
Journal Journal of Cloud Computing
Print ISSN 2192-113X
Publisher SpringerOpen
Peer Reviewed Peer Reviewed
Volume 1
Issue 1
Pages 1-14
DOI https://doi.org/10.1186/2192-113X-1-1
Keywords architecture, integrated intelligence, urban management, cloud computing
Public URL https://uwe-repository.worktribe.com/output/948258
Publisher URL http://dx.doi.org/10.1186/2192-113X-1-1