2010
DOI: 10.1088/1742-6596/219/6/062057
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Site specific monitoring of multiple information systems – the HappyFace Project

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Cited by 5 publications
(3 citation statements)
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“…The main monitoring sources are the Service Availability Monitor (SAM) [9], HammerCloud [10], PhEDEx, the WLCG Information System and the batch systems of the Tier-1 sites. The aggregation and visualization layer is provided by several tools, such as the CMS Site Readiness [11], the Site Status Board [12], the Service Usability Monitor [13] and HappyFace [14].…”
Section: Facility Monitoringmentioning
confidence: 99%
See 1 more Smart Citation
“…The main monitoring sources are the Service Availability Monitor (SAM) [9], HammerCloud [10], PhEDEx, the WLCG Information System and the batch systems of the Tier-1 sites. The aggregation and visualization layer is provided by several tools, such as the CMS Site Readiness [11], the Site Status Board [12], the Service Usability Monitor [13] and HappyFace [14].…”
Section: Facility Monitoringmentioning
confidence: 99%
“…Batch system-specific plugins are used to format the relevant data as standard XML files and a dedicated HappyFace instance. HappyFace [14] is an aggregation and visualization tool for monitoring information widely used in German WLCG sites and was particularly suited for this application (altough in principle any visualization tool capable of reading the XML feeds could be used). Currently, there are no plans to extend the project to Tier-2 sites because of the amount of effort needed to have the XML generators deployed everywhere, but it could be easily adopted by other experiments.…”
Section: Facility Monitoringmentioning
confidence: 99%
“…At distinct points in time, a variety of checkpoints have been predefined to verify smooth operation and the desired level of quality of all required services. In order to minimise administrative efforts and to lower manpower consumption significantly, the "HappyFace Project" [12] was born. HappyFace is a widely modular and flexible metamonitoring system.…”
Section: • Computing Clustermentioning
confidence: 99%