A Dashboard for the Italian Computing in ALICE

D Elia, G Vino, S Bagnasco, A Crescente, G Donvito, A Franco, S Lusso, D Mura, S Piano, G Platania
<span title="">2017</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wxgp7pobnrfetfizidmpebi4qy" style="color: black;">Journal of Physics, Conference Series</a> </i> &nbsp;
A dashboard devoted to the computing in the Italian sites for the ALICE experiment at the LHC has been deployed. A combination of different complementary monitoring tools is typically used in most of the Tier-2 sites: this makes somewhat difficult to figure out at a glance the status of the site and to compare information extracted from different sources for debugging purposes. To overcome these limitations a dedicated ALICE dashboard has been designed and implemented in each of the ALICE
more &raquo; ... sites in Italy: in particular, it provides a single, interactive and easily customizable graphical interface where heterogeneous data are presented. The dashboard is based on two main ingredients: an open source time-series database and a dashboard builder tool for visualizing time-series metrics. Various sensors, able to collect data from the multiple data sources, have been also written. A first version of a national computing dashboard has been implemented using a specific instance of the builder to gather data from all the local databases.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1742-6596/898/9/092054">doi:10.1088/1742-6596/898/9/092054</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b3k3ltisdjdodezoll6dg7xvka">fatcat:b3k3ltisdjdodezoll6dg7xvka</a> </span>
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