R-GMA: First results after deployment

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dc.creatorByrom, Rob
dc.creatorCoghlan, Brian
dc.creatorCooke, Andrew W
dc.creatorCordenonsi, Roney
dc.creatorCornwall, Linda
dc.creatorDatta, Ari
dc.creatorDjaoui, Abdeslem
dc.creatorField, Laurence
dc.creatorFisher, Steve
dc.creatorHicks, Steve
dc.creatorKenny, Stuart
dc.creatorMagowan, James
dc.creatorNutt, Werner
dc.creatorO'Callaghan, David
dc.creatorOevers, Manfred
dc.creatorPodhorszki, Norbert
dc.creatorRyan, John
dc.creatorSoni, Manish
dc.creatorTaylor, Paul
dc.creatorWilson, Antony J.
dc.creatorZhu, Xiaomei
dc.date2003-05-30
dc.date2003-06-12
dc.date.accessioned2026-07-07T03:19:45Z
dc.date.available2026-07-07T03:19:45Z
dc.descriptionWe describe R-GMA (Relational Grid Monitoring Architecture) which is being developed within the European DataGrid Project as an Grid Information and Monitoring System. Is is based on the GMA from GGF, which is a simple Consumer-Producer model. The special strength of this implementation comes from the power of the relational model. We offer a global view of the information as if each VO had one large relational database. We provide a number of different Producer types with different characteristics; for example some support streaming of information. We also provide combined Consumer/Producers, which are able to combine information and republish it. At the heart of the system is the mediator, which for any query is able to find and connect to the best Producers to do the job. We are able to invoke MDS info-provider scripts and publish the resulting information via R-GMA in addition to having some of our own sensors. APIs are available which allow the user to deploy monitoring and information services for any application that may be needed in the future. We have used it both for information about the grid (primarily to find what services are available at any one time) and for application monitoring. R-GMA has been deployed in Grid testbeds, we describe the results and experiences of this deployment.
dc.descriptionTalk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 5 pages, LaTeX, 3 eps figures. PSN MOET004
dc.identifierhttps://arxiv.org/abs/cs/0306003
dc.identifierhttp://arxiv.org/abs/cs/0306003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31586
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectH.2.4;H.m
dc.titleR-GMA: First results after deployment
dc.typetext

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