GridMonitor: Integration of Large Scale Facility Fabric Monitoring with Meta Data Service in Grid Environment

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dc.creatorBaker, Rich
dc.creatorYu, Dantong
dc.creatorSmith, Jason
dc.creatorChan, Anthony
dc.creatorDe, Kaushik
dc.creatorMcGuigan, Patrick
dc.date2003-06-13
dc.date.accessioned2026-07-07T03:19:52Z
dc.date.available2026-07-07T03:19:52Z
dc.descriptionGrid computing consists of the coordinated use of large sets of diverse, geographically distributed resources for high performance computation. Effective monitoring of these computing resources is extremely important to allow efficient use on the Grid. The large number of heterogeneous computing entities available in Grids makes the task challenging. In this work, we describe a Grid monitoring system, called GridMonitor, that captures and makes available the most important information from a large computing facility. The Grid monitoring system consists of four tiers: local monitoring, archiving, publishing and harnessing. This architecture was applied on a large scale linux farm and network infrastructure. It can be used by many higher-level Grid services including scheduling services and resource brokering.
dc.descriptionTalk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 8 pages, LaTeX, 1 eps figure, 4 ps figures, 1 style file, Monitoring, PSN MOET005
dc.identifierhttps://arxiv.org/abs/cs/0306073
dc.identifierhttp://arxiv.org/abs/cs/0306073
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31635
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectPerformance
dc.subjectC.4; D.4.8; H.3.4; K.6.2
dc.titleGridMonitor: Integration of Large Scale Facility Fabric Monitoring with Meta Data Service in Grid Environment
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