http://www.cnr.it/ontology/cnr/individuo/prodotto/ID200060
The D4Science Approach toward Grid Resource Sharing: The Species Occurrence Maps Generation Case (Contributo in volume (capitolo o saggio))
- Type
- Label
- The D4Science Approach toward Grid Resource Sharing: The Species Occurrence Maps Generation Case (Contributo in volume (capitolo o saggio)) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-1-4419-8014-4_18 (literal)
- Alternative label
Candela, L., Pagano P. (2011)
The D4Science Approach toward Grid Resource Sharing: The Species Occurrence Maps Generation Case
Springer, New York (Stati Uniti d'America) in Data Driven e-Science : use Cases and Successful Applications of Distributed Computing Infrastructures (ISGC 2010), 2011
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Candela, L., Pagano P. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Data Driven e-Science : use Cases and Successful Applications of Distributed Computing Infrastructures (ISGC 2010) (literal)
- Note
- PuMa (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-ISTI, Pisa, Italy (literal)
- Titolo
- The D4Science Approach toward Grid Resource Sharing: The Species Occurrence Maps Generation Case (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4419-8013-7 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Simon C. Lin and Eric Yen (literal)
- Abstract
- 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. (literal)
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