An Architecture for Integrated Intelligence in Urban Management using Cloud Computing
Zaheer Khan, David Ludlow, Richard McClatchey, Ashiq Anjum

TL;DR
This paper proposes a cloud-based architecture to enhance integrated environmental management in urban ecosystems, enabling better data handling, communication, and decision-making for diverse stakeholders.
Contribution
It introduces a user-oriented cloud computing framework tailored for urban-ecosystem management, emphasizing generic solutions applicable across multiple cities.
Findings
Supports large-scale environmental data management
Facilitates stakeholder communication and decision-making
Offers a scalable, generic cloud-based solution for urban management
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 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…
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Taxonomy
TopicsBig Data and Business Intelligence · Smart Cities and Technologies · Big Data Technologies and Applications
