Документ взят из кэша поисковой машины. Адрес оригинального документа : http://www.adass.org/adass/proceedings/adass03/P3-1/
Дата изменения: Sat Aug 14 03:47:51 2004
Дата индексирования: Tue Oct 2 04:21:58 2012
Кодировка:

Поисковые слова: iapetus
ADASS 2003 Conference Proceedings Next: Organization of Data Sets in Virtual Observatories
Up: Algorithms & Classification
Previous: Source Detection with Bayesian Inference on ROSAT All-Sky Survey Data Sample
Table of Contents - Subject Index - Author Index - Search - PS reprint - PDF reprint

Pasian, F. & Benacchio, L. 2003, in ASP Conf. Ser., Vol. 314 Astronomical Data Analysis Software and Systems XIII, eds. F. Ochsenbein, M. Allen, & D. Egret (San Francisco: ASP), 257

DRACO and the Italian Participation in Virtual Observatory Activities

Fabio Pasian
INAF - Osservatorio Astronomico di Trieste, Trieste, Italy

Leopoldo Benacchio
INAF - Osservatorio Astronomico di Padova, Padova, Italy

Abstract:

The Italian Data Grid for Astrophysical Research (DRACO: Datagrid for italian Research in Astrophysics and Coordination with the virtual Observatory) is a concept having the aim of providing the scientific community with a distributed multi-functional environment allowing the use of specialized (computing, storage, observational) Grid nodes. DRACO provides the framework through which the Italian astrophysical community participates in the international Virtual Observatory (VO) effort.

1. Introduction - The Grid, the Data Grid and the VO

A new paradigm for accessing and exploiting network-distributed facilities, the Grid, has recently gained importance and momentum; it is common belief that the concept of Grid will be the natural extension of the web, since it allows, besides the passive access to the resources (mainly information) available on the net, an active usage of the resources themselves, e.g. allowing the user to access distributed computing resources. The Data Grid extends this concept, being based on two fundamental services, namely: storage and processing systems, and metadata and communications management. The astrophysical community is implementing this structure by defining, at an international level, the concept of ``Virtual Observatory'', which is tightly coupled to the Data Grid paradigm.

2. DRACO and the Grid

An Italian national Grid for research is being developed as a coordinated action involving research institutions (CNR, INFN, INAF, Universities, ...). In 2002, a project called "Enabling platforms for high-performance computational Grids oriented towards scalable virtual organizations" (short name: Grid.it) has been approved and funded by the Italian Fund for Basic Research (FIRB), and provides a technical and organizational framework so as to allow the various projects to operate as virtual organizations, re-organizing as needed the Grid structure (the network and the computing facilities) into logical sub-Grids.

The project, funded by FIRB, has generated a national cooperation named IG-BIGEST (Italian Grid for Business, Industry, Government, E-Science and Technology); the participation of the astrophysical community in this structure is granted by the National Institute for Astrophysics (INAF). From this national framework and as a subset of the IG-BIGEST effort, the concept of an Italian Data Grid for Astrophysical Research (DRACO - Datagrid for italian Research in Astrophysics and Coordination with the virtual Observatory) has emerged. A plausible scenario in DRACO could foresee a scientist monitoring an observation on a remote telescope, processing in a distributed fashion the data gathered, while comparing them with archived data (i.e. extracted from the Virtual Observatory). It is to be noted that the purpose of the astrophysical section of the Grid.it project (work-package 10) is the implementation of three demonstrators which are to prove the feasibility of porting astrophysical applications within the framework of a national Grid structure. The aim of DRACO is therefore to demonstrate the feasibility of providing the scientific community with a distributed multi-functional environment allowing the use of specialized (observational, computing, storage) Grid nodes.

The three first DRACO nodes are the INAF Observatories of Padova, Trieste and Naples, having the following tasks:

The foreseen extensions to the original DRACO framework include the extension in the number of nodes to the Observatories of Catania and Rome, Universities of Naples and Salerno, and the integration of other data processing and scientific applications. In particular, the inclusion of visualization (Cosmo.Lab, ASTROMD) tools and "machine learning" applications, which encompass the use of neural networks, genetic algorithms, fuzzy-C sets (the AstroMining tool) is foreseen. A proposal for funding has been successfully submitted to the Italian Ministry for Education and Research.

3. DRACO and the VO

From the data centers included in the DRACO kernel based on the Grid.it project (the TNG Long-Term Archive prototype and the GSC-II Catalog), an extension to other data-providing nodes is foreseen:

It is to be noted that the TNG LTA pilot will soon become a full-fledged archive providing service to the community, and work on the LBC archive will be started. All centers plan to use the standards defined within the IVOA collaboration to ensure interoperability.

A funding request to ASI has been recently made to coordinate a ``distributed center'' for scientific data acquired by space-borne instrumentation. Dedicated INAF funding has been set aside for a data center providing access to TNG and LBC data, and is expected to be made available within 2003.

Figure 1: Italian sites in astrophysics: back dots represent DRACO sites active in grid development, grey dots sites hosting data; white dots can be considered as user sites.
\begin{figure*}
\epsscale{.70}
\plotone{P3-1_1.eps}
\end{figure*}

4. DRACO Approach to Interoperability within the VO Framework

An example of the way DRACO intends to proceed in its coordination with international VO efforts can be the prototype TNG Long-Term Archive development activity (held between June 2001 and September 2002). One of the aims of this project was to provide tools and expertise to create and achieve a high degree of interoperability with other archives at the national and international level. The following steps have been followed:

5. National and International status

IG-BIGEST participates in an EU FP6 project for the enabling of a pan-European grid for research (EGEE); the astrophysical community (INAF) participates as an unfunded partner. INAF furthermore participates in European VO activities, coordinating with similar activities throughout Europe. DRACO participates in the International VO Alliance (IVOA) and is represented in the IVOA Executive Committee. Coordination of DRACO Interoperability efforts with all other VO data providers and repositories is achieved by co-ordination within international working groups.

Acknowledgments

The original core of DRACO was funded within the Grid.it project by the Italian Fund for Basic Research (FIRB); its extension on funds of the Italian Ministry for Education and Research. The prototype TNG Long-Term Archive was funded by the National Consortium for Astronomy and Astrophysics (CNAA).

References

Lama, N., Vuerli, C., Smareglia, R., Gasparo, F., Pasian, F. 2004, this volume, 400

Longo, G., Donalek, C., Raiconi, G., Staiano, A., Tagliaferri, R., Sessa, S., Pasian, F., Smareglia, R., Volpicelli, A. 2002, in: Data Analysis II, SPIE proceedings 4847, 265

Pasian, F., Smareglia, R., Benacchio, L. 2003, in: Toward An International Virtual Observatory, P.Quinn ed. ESO Astrophysics Symposia, Springer Verlag, in press

Pasian, F., Smareglia, R., Vuerli, C., Zacchei, A., Lama, N., Benacchio, L. 2003, Mem. S.A.It. Supplements, in press

Smareglia, R., Pasian, F., Zacchei, A., Caproni, A., Vuerli, C., Longo, G., Becciani, U., Gheller, C. 2002, in: Virtual Observatories, SPIE proceedings 4846, p.158-169


© Copyright 2004 Astronomical Society of the Pacific, 390 Ashton Avenue, San Francisco, California 94112, USA
Next: Organization of Data Sets in Virtual Observatories
Up: Algorithms & Classification
Previous: Source Detection with Bayesian Inference on ROSAT All-Sky Survey Data Sample
Table of Contents - Subject Index - Author Index - Search - PS reprint - PDF reprint