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.
Highlights
Integrated environmental intelligence can be described as the capability of a system to access, process, visualise and share data, metadata and models from various domains relating to land-use/cover, biodiversity, atmosphere as well as socio-economic aspects of the city for various purposes
It aims to develop a cloud-based framework that facilitates data accessibility and storage across platforms, and provides necessary ondemand computational resources for the required processing, simulation and visualisation tasks. This framework aims to provide mechanisms for integrated information intelligence necessary to resolve the highly complex cross thematic multiple impact challenges associated with climate change, as well as measures to ameliorate these impacts associated with climate change mitigation and adaptation
A user perspective is presented briefly in order to derive technological capabilities in clouds. After this we present a proposed architecture for Integrated Environmental Monitoring (IEM) followed by different implementation scenarios using cloud computing
Summary
Integrated environmental intelligence can be described as the capability of a system to access, process, visualise and share data (spatial and non-spatial), metadata and models from various domains relating to land-use/cover, biodiversity, atmosphere as well as socio-economic aspects of the city for various purposes. This research is an attempt to bridge the gaps between fragmented cross-thematic environmental information, with a particular focus on the urban environments In this regard, it aims to develop a cloud-based framework that facilitates data accessibility and storage across platforms, and provides necessary ondemand computational resources for the required processing, simulation and visualisation tasks. From a technical perspective, managing increasing data volumes, the varying needs of scalable computing resources, harmonisation and interoperability processes, tools and services, visualisation and compliance to standards are the major drivers in developing an integrated system In this regard, the cloud computing paradigm is a suitable cyber-infrastructure to fulfil most of the above requirements due to its characteristics such as elasticity, on-demand processing, a pay-as-you-use cost model, lower IT management costs etc. OCCI is work in progress in many cloud projects such as Eucalyptus, Openstack, SLA@SOI, RESERVOIR, jclouds etc
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