Relational Grid Monitoring Architecture (R-GMA)
Rob Byrom, Brian Coghlan, Andrew W Cooke, Roney Cordenonsi, Linda, Cornwall, Abdeslem Djaoui, Laurence Field, Steve Fisher, Steve Hicks, Stuart, Kenny, Jason Leake, James Magowan, Werner Nutt, David O'Callaghan, Norbert, Podhorszki, John Ryan, Manish Soni, Paul Taylor

TL;DR
R-GMA is a relational grid monitoring system that provides a unified view of grid information, supporting various data types and integration with other monitoring tools, demonstrated through deployment in testbeds.
Contribution
Introduces R-GMA, a relational model-based grid monitoring architecture with diverse producer types and a mediator for optimized data retrieval, enhancing grid information management.
Findings
Successful deployment in testbeds
Effective integration with MDS
Supports streaming and combined data sources
Abstract
We describe R-GMA (Relational Grid Monitoring Architecture) which has been developed within the European DataGrid Project as a 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 Virtual Organisation 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 for the job. We have developed components to allow a measure of inter-working between MDS and R-GMA. We have…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed and Parallel Computing Systems · Scientific Computing and Data Management · Parallel Computing and Optimization Techniques
