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
Publish/subscribe (pub/sub) systems are widely used in numerous Internet-Of-Things (IoT) applications such as environment monitoring, supply chain tracing, healthcare, and vehicle networks. In these applications, publishers (e.g. smart devices, sensors) are continuously generating large volume of data with an extremely high throughput, whereas subscribers are only interested in a small portion of the data. Recently, content-based subscription systems have raised more and more attentions by the researchers where subscribers can specify rules on the content of messages that are composed of many attributes. For example, in traffic monitoring, an operator is only interested in the data within a specified area defined by constraints on latitude and longitude instead of the whole map. In this paper, we present COSS, the first COntent-based Subscription Service for IoT with natural multi-tenant support and easy-to-use REST APIs. Moreover, we investigate in the problem of Balanced Rule Engine Partitioning for content-based subscription under the Tenant-Message-Rule (TMR) model. We show the NP-hardness of the problem and design a heuristics to enable COSS to adaptively adjust the message distribution according to the workload history, and to scale on both the high data throughput of IoT workloads and multi-tenant. Extensive experiments show that COSS offers high performance and scalability for content-based subscription in terms of the number of tenants, and the data throughput of the messages.
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