The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
SATI: A scalable and traffic-efficient data delivery infrastructure for real-time sensing applications
Upcoming ubiquitous technologies are expediting the advent of many real-time applications. Examples of such applications include physical world browsing, RFID-based supply chain management, city-wide road traffic monitoring, weather forecasting, and air pollution monitoring. These applications show different scales and characteristics in terms of sensing data delivery demands. They commonly demand a deep understanding on real-time data delivery from widely distributed data sources. Also, they have highly individualized and fine-grained delivery demands in terms of data and delay specifications, e.g., data value ranges of interest, spatial and temporal resolutions, and tolerable delay, etc. Due to the remarkable scale and complexity, however, existing data delivery systems cannot support such applications effectively. We present SATI (scalable and traffic-efficient data delivery infrastructure), a novel Internet-based sensing data delivery infrastructure that provides a common platform for data providers and consumers. Basically, it is comprised of a collection of proxy nodes forming an overlay network, where each proxy node conducts an in-network processing and efficient data delivery. It allows applications to specify their delivery requirements with intuitive and comprehensive delivery semantics. For scalable and efficient data delivery, SATI develops a novel delivery path management scheme based on an incremental relaxation method. The scheme enables SATI to construct and maintain efficient delivery paths satisfying a large number of delivery requests of high diversity. It fully exploits the diversity of delivery demands on both data and delay requirements, thus achieving a high level of service satisfaction and efficiency at the same time. The result from a large-scale simulation shows that SATI achieves a high level of scalability and bandwidth efficiency. (C) 2010 Elsevier B.V. All rights reserved.
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