An architecture for integrated intelligence in urban management using cloud computing

• DOI: 10.1186/2192-113x-1-1
• Publication Date: 2012-04-05T16:14:44Z
• Authors: Zaheer Khan; David Ludlow; Richard McClatchey; Ashiq Anjum
• Keywords: FOS: Computer and information sciences; 9. Industry and infrastructure; 02 engineering and technology; 12. Responsible consumption; Computer Science - Distributed, Parallel, and Cluster Computing; 13. Climate action; 11. Sustainability; 0202 electrical engineering, electronic engineering, information engineering; Distributed, Parallel, and Cluster Computing (cs.DC)

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