An architecture for integrated intelligence in urban management using cloud computing
Khan, Z., Ludlow, D., McClatchey, R. and Anjum, A. (2012) An architecture for integrated intelligence in urban management using cloud computing. OpenAccess Journal of Cloud Computing: Advances, Systems and Applications, 1 (1). ISSN 2192-113X Available from: http://eprints.uwe.ac.uk/16048
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Publisher's URL: http://dx.doi.org/10.1186/2192-113X-1-1
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 capacity 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 lies in the interactions and impacts embodied in the concept of the urban-ecosystem at various governance levels. This highlights the need for more effective integrated environmental management systems. The effectiveness of integrated environmental management systems is greatly enhanced and generally structured on the principle of horizontal integration of information across the sectoral boundaries at the local level, and vertical integration between levels of governance. This paper offers a user-orientated approach based on requirements for an effective management of the urban-ecosystem and the potential contributions that can be supported by the cloud computing. Furthermore, 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 from Europe and indeed globally. In this respect, different cloud based architecture scenarios are presented which utilise capabilities compliant to various standards in generating information intelligence for urban-ecosystems.