DocumentCode :
2016506
Title :
Harvesting Large-Scale Grids for Software Resources
Author :
Katsifodimos, Asterios ; Pallis, George ; Dikaiakos, Marios D.
Author_Institution :
Comput. Sci. Dept., Univ. of Cyprus, Nicosia
fYear :
2009
fDate :
18-21 May 2009
Firstpage :
252
Lastpage :
259
Abstract :
Grid infrastructures are in operation around the world, federating an impressive collection of computational resources and a wide variety of application software. In this context, it is important to establish advanced software discovery services that could help end-users locate software components suitable to their needs. In this paper, we present the design, architecture and implementation of an open-source keyword-based paradigm for the search of software resources in Grid infrastructures, called Minersoft. A key goal of Minersoft is to annotate automatically all the software resources with keyword-rich metadata. Using advanced Information Retrieval techniques, we locate software resources with respect to users queries. Experiments were conducted in EGEE, one of the largest Grid production services currently in operation. Results showed that Minersoft successfully crawled 12.3 million valid files (620 GB size) and sustained, in most sites, high crawling rates.
Keywords :
grid computing; object-oriented programming; public domain software; query processing; software architecture; information retrieval; keyword-rich metadata; large-scale Minersoft grid harvesting system; open-source keyword-based paradigm; software component; software discovery service; software resource search; Application software; Computer architecture; Context-aware services; Documentation; Grid computing; Information retrieval; Large-scale systems; Open source software; Production; Software maintenance; Crawling; Grid Computing; Indexing; Software Retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3935-5
Electronic_ISBN :
978-0-7695-3622-4
Type :
conf
DOI :
10.1109/CCGRID.2009.51
Filename :
5071879
Link To Document :
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