Statistics – Computation
Scientific paper
Jul 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aspc..351..528v&link_type=abstract
Astronomical Data Analysis Software and Systems XV ASP Conference Series, Vol. 351, Proceedings of the Conference Held 2-5 Octob
Statistics
Computation
Scientific paper
Grid infrastructures currently in use for production purposes are strongly computing-oriented, suitable for scientific communities whose applications require intensive computation on a relatively small amount of data. Middleware implementations underlying such infrastructures well support the sharing and distribution of Grid-embedded computational resources but problems arise when trying to use such Grids to satisfy the sharing of data-oriented and services-oriented resources. The Grid middleware model does not allow the embedding of a meta-computing machine. Some scientific communities are strongly limited in using such Grid infrastructures for their applications; they have a wider perception of the Grid and their applications require not only traditional computation but also access to complex data repositories and services as well as mixed distributed computations. The astrophysical community certainly has this perception of the Grid. This work concentrates on the interoperability aspects between the Grid and the scientific instrumentation. The new IE (Instrument Element) Grid Element has been designed, built and tested for this purpose. The IE makes possible to monitor and remotely control any scientific instrumentation. The first implementation of the IE is focused on the monitoring aspects; astronomers having access to a Grid infrastructure through a Grid-UI can interface the observing facility where their observing runs are in progress and check the telemetric data as well as scientific data during their acquisition. Future releases of the IE will be extended to the remote control so that remote working sessions using remote astronomical instrumentation shall also be possible. This work is part of the wider project (including the Query Element) whose goal is to exploit the Grid technology to build a homogeneous astronomical working environment where scientific data are acquired, checked, compared with data coming from other databases, processed and stored.
Barisani A.
Capasso Giorgio
Cascone Enrico
Coretti Igor
Occhioni M.
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