The D4Science Approach toward Grid Resource Sharing: The Species Occurrence Maps Generation Case
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 computationallyintensive, 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.
KeywordsDigital Library Grid Resource Reference Architecture Service Orient Catch Statistic
Unable to display preview. Download preview PDF.
- 2.I. Foster, C. Kesselman, J. Nick, and S. Tuecke. The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration. Open Grid Service Infrastructure WG, Global Grid Forum, June 2002.Google Scholar
- 3.M. Fraser. Virtual Research Environments: Overview and Activity. Ariadne, 44, 2005.Google Scholar
- 5.L. Candela, D. Castelli, and P. Pagano. D4Science: an e-Infrastructure for Supporting Virtual Research Environments. In M. Agosti, F. Esposito, and C. Thanos, editors, Post-proceedings of the 5th Italian Research Conference on Digital Libraries - IRCDL 2009, pages 166–169. DELOS: an Association for Digital Libraries, 2009.Google Scholar
- 6.L. Candela, F. Akal, H. Avancini, D. Castelli, L. Fusco, V. Guidetti, C. Langguth, A. Manzi, P. Pagano, H. Schuldt, M. Simi, M. Springmann, and L. Voicu. DILIGENT: integrating Digital Library and Grid Technologies for a new Earth Observation Research Infrastructure. International Journal on Digital Libraries, 7(1-2):59–80, October 2007.CrossRefGoogle Scholar
- 7.I. Foster, Y. Zhao, I. Raicu, and S. Lu. Cloud Computing and Grid Computing 360-Degree Compared. In Grid Computing Environments Workshop, 2008. GCE ’08, 2008.Google Scholar
- 8.L. Candela, D. Castelli, and P. Pagano. gCube: A Service-Oriented Application Framework on the Grid. ERCIM News, (72):48–49, January 2008.Google Scholar
- 9.O. Appleton, B. Jones, D. Kranzmuller, and E. Laure. The EGEE-II project: Evolution towards a permanent european grid initiative. In L. Grandinetti, editor, High Performance Computing (HPC) and Grids in Action, volume 16 of Advances in Parallel Computing, pages 424–435. IOS Press, Amsterdam, Mar. 2008.Google Scholar
- 10.S. Boutsis, L. Candela, P. Di Marcello, P. Fabriani, L. Frosini, G. Kakaletris, P. Koltsida, L. Lelii, D. Milano, P. Pagano, P. Polydoras, P. Ranaldi, P. Roccetti, F. Simeoni, M. Simi, V. Tsagkalidou, R. Tsantouli, and A. Turli. D4Science System High-level Design. Deliverable DJRA1.1c, D4Science, November 2009.Google Scholar
- 11.P. Pagano, F. Simeoni, M. Simi, and L. Candela. Taming development complexity in service-oriented e-infrastructures: the gcore application framework and distribution for gcube. Zero-In e-Infrastructure News Magazine, 1(1):19 – 21, 2009.Google Scholar
- 12.F. Simeoni, L. Candela, G. Kakaletris, M. Sibeko, P. Pagano, G. Papanikos, P. Polydoras, Y. E. Ioannidis, D. Aarvaag, and F. Crestani. A Grid-Based Infrastructure for Distributed Retrieval. In L. Kovács, N. Fuhr, and C. Meghini, editors, Research and Advanced Technology for Digital Libraries, 11th European Conference, ECDL 2007, Budapest, Hungary, September 16-21, 2007, Proceedings, volume 4675 of Lecture Notes in Computer Science, pages 161– 173. Springer-Verlag, 2007.Google Scholar
- 13.E. Floros, G. Kakaletris, P. Polydoras, and Y. Ioannidis. Grid Computing: Achievements and Prospects, chapter Query Processing Over The Grid: the Role Of Workflow Management, pages 1–12. Springer, 2008.Google Scholar
- 15.M. Costello, K. Stocks, Y. Zhang, J. Grassle, and D. Fautin. About the Ocean Biogeographic Information System. http://www.iobis.org/, March 2007.
- 16.K. Kaschner, J. S. Ready, E. Agbayani, J. Rius, K. Kesner-Reyes, P. D. Eastwood, A. B. South, S. O. Kullander, T. Rees, C. H. Close, R. Watson, D. Pauly, and R. Froese. AquaMaps: Predicted range maps for aquatic species. http://www.aquamaps.org/, 2008.
- 17.M. Assante, L. Candela, D. Castelli, L. Frosini, L. Lelii, P. Manghi, A. Manzi, P. Pagano, and M. Simi. An Extensible Virtual Digital Libraries Generator. In B. Christensen-Dalsgaard, D. Castelli, B. A. Jurik, and J. Lippincott, editors, 12th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2008, Aarhus, Denmark, September 14-19, volume 5173 of Lecture Notes in Computer Science, pages 122–134. Springer, 2008.Google Scholar