2011
Contribution to book  Restricted

The D4Science Approach toward Grid Resource Sharing: The Species Occurrence Maps Generation Case

Candela L., Pagano P.

Theory & Methods  Computer Science  Information Systems 

Nowadays science is highly multidisciplinary and requires innovative research environments. Such research environments, also known as Virtual Research Environments, should be powerful and flexible enough to help researchers in all disciplines to manage the complex range of tasks involved in carrying out eScience activities. Such research environments should support computationally-intensive, data-intensive and collaboration-intensive tasks on both small and large scale. The community to be served by a specific research environment is expected to be potentially distributed across multiple organizational domains and institutions. This paper discusses the approach put in place in the context of the D4Science EU project to enable on-demand production of Virtual Research Environments by relying on an innovative, grid-based Infrastructure. In particular, the foundational principles, the enabling technology and the concrete experience resulting from developing (i) a production Infrastructure and (ii) a Virtual Research Environment for generating predictive species distribution maps are described.

Source: Data Driven e-Science : use Cases and Successful Applications of Distributed Computing Infrastructures (ISGC 2010), edited by Simon C. Lin and Eric Yen, pp. 225–238. New York: Springer, 2011

Publisher: Springer, New York, USA



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Projects (via OpenAIRE)

ENVRI
Common Operations of Environmental Research Infrastructures

D4SCIENCE
DIstributed colLaboratories Infrastructure on Grid ENabled Technology 4 Science

IMARINE
Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources

EUBRAZILOPENBIO
EU-Brazil Open Data and Cloud Computing e-Infrastructure for Biodiversity


OpenAIRE
BibTeX entry
@inbook{oai:it.cnr:prodotti:200060,
	title = {The D4Science Approach toward Grid Resource Sharing: The Species Occurrence Maps Generation Case},
	author = {Candela L. and Pagano P.},
	publisher = {Springer, New York, USA},
	doi = {10.1007/978-1-4419-8014-4_18},
	booktitle = {Data Driven e-Science : use Cases and Successful Applications of Distributed Computing Infrastructures (ISGC 2010), edited by Simon C. Lin and Eric Yen, pp. 225–238. New York: Springer, 2011},
	year = {2011}
}