Title | ||
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An Architecture for Integrated Intelligence in Urban Management Using Cloud Computing |
Abstract | ||
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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. 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 community. 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. |
Year | DOI | Venue |
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2012 | 10.1109/UCC.2011.69 | UCC '11 Proceedings of the 2011 Fourth IEEE International Conference on Utility and Cloud Computing |
Keywords | Field | DocType |
new integrated computing model,integrated intelligence,effective management,cloud computing,information intelligence,effective integrated environmental management,cloud computing community,new methodology,urban level,complex business,urban management,cloud capacity,generic solution,environmental management system,computer model,software architecture,urban ecosystem,data model,data visualization,environmental monitoring,data models | Data modeling,Corporate governance,Data visualization,Architecture,Computer science,Knowledge management,Embodied cognition,Software architecture,Environmental monitoring,Cloud computing | Journal |
Volume | ISSN | Citations |
abs/1202.5483 | 2192-113X | 7 |
PageRank | References | Authors |
1.91 | 2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zaheer Khan | 1 | 173 | 17.96 |
David Ludlow | 2 | 11 | 4.20 |
Richard McClatchey | 3 | 373 | 66.62 |
Ashiq Anjum | 4 | 333 | 38.33 |