Thanks to the recent GRID technologies growth, in more research and industrial environments it is possible to obtain a number of benefits about the resources availability that could be shared in a fully trusted net architecture. GRID frameworks allow users to discover, monitor and control distributed resources on the net and to develop dedicated services for cooperative elaboration as well. This paper describes the design and realization of a GRID-based measurement system for assessing the electromagnetic conducted disturbances. In such a context, the GRID allows the access to remote acquisition nodes and implements an algorithm studied for pre-compliance analysis that takes advantage of the overall GRID. This kind of structure is useful in laboratories where a cluster for intensive data elaboration is not available.
Conducted disturbance measurement system based on a GRID architecture / Cacciatore, V; Corbellini, Simone; Parvis, Marco; Vallan, Alberto. - STAMPA. - (2007), pp. 1-5. (Intervento presentato al convegno Instrumentation and Measurement Technology Conference Proceedings, 2007 IEEE tenutosi a Warsaw, Poland nel 1-3 May) [10.1109/IMTC.2007.379154].
Conducted disturbance measurement system based on a GRID architecture
CORBELLINI, SIMONE;PARVIS, Marco;VALLAN, Alberto
2007
Abstract
Thanks to the recent GRID technologies growth, in more research and industrial environments it is possible to obtain a number of benefits about the resources availability that could be shared in a fully trusted net architecture. GRID frameworks allow users to discover, monitor and control distributed resources on the net and to develop dedicated services for cooperative elaboration as well. This paper describes the design and realization of a GRID-based measurement system for assessing the electromagnetic conducted disturbances. In such a context, the GRID allows the access to remote acquisition nodes and implements an algorithm studied for pre-compliance analysis that takes advantage of the overall GRID. This kind of structure is useful in laboratories where a cluster for intensive data elaboration is not available.Pubblicazioni consigliate
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https://hdl.handle.net/11583/1820011
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