An Agent-Based Semi-Informed Protocol for Resource Discovery in Grids (Articolo in rivista)

Type
Label
  • An Agent-Based Semi-Informed Protocol for Resource Discovery in Grids (Articolo in rivista) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/11758549_139 (literal)
Alternative label
  • Forestiero Agostino, Mastroianni Carlo, Spezzano Giandomenico (2006)
    An Agent-Based Semi-Informed Protocol for Resource Discovery in Grids
    in Lecture notes in computer science
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Forestiero Agostino, Mastroianni Carlo, Spezzano Giandomenico (literal)
Pagina inizio
  • 1047 (literal)
Pagina fine
  • 1054 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 3994 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Proc. of the 2006 International Conference on Computational Science (ICCS 2006), Reading, United Kingdom, May 2006 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ICAR-CNR, ICAR-CNR, ICAR-CNR (literal)
Titolo
  • An Agent-Based Semi-Informed Protocol for Resource Discovery in Grids (literal)
Abstract
  • A Grid information system should rely upon two basic features: the replication and dissemination of information about Grid resources, and an intelligent logical distribution of such information among Grid hosts. This paper examines an approach based on multi agent systems to build an information systems in which metadata related to Grid resources is disseminated and logically organized according to a semantic classification of resources. Agents collect resources belonging to the same class in a restricted region of the Grid, so decreasing the system entropy. A semi-informed resource discovery protocol exploits the agents’ work: query messages issued by clients are driven towards \"representative peers\" which maintain information about a large number of resources having the required characteristics. Simulation analysis proves that the combined use of the resource mapping protocol (ARMAP) and the resource discovery protocol (ARDIP) allows users to find many useful results in a small amount of time. (literal)
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