http://www.cnr.it/ontology/cnr/individuo/prodotto/ID14375
A Super-Peer Model for Building Resource Discovery Services in Grids: Design and Simulation Analysis (Articolo in rivista)
- Type
- Label
- A Super-Peer Model for Building Resource Discovery Services in Grids: Design and Simulation Analysis (Articolo in rivista) (literal)
- Anno
- 2005-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/11508380_15 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Mastroianni Carlo, Talia Domenico, Verta Oreste (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- This paper received the Best Paper Award at the European Grid Conference EGC 2005.
(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
- A Super-Peer Model for Building Resource Discovery Services in Grids: Design and Simulation Analysis (literal)
- Abstract
- As deployed Grids increase from tens to thousands of nodes, Peer-to-Peer (P2P) techniques and protocols can be used to implement scalable services and applications. The super-peer model is a novel approach that helps the convergence of P2P models and Grid environments and can be used to deploy a P2P information service in Grids. A super-peer serves a single Virtual Organization (VO) in a Grid, and manages metadata associated to the resources provided by the nodes of that VO. Super-peers connect to each other to form a
peer network at a higher level. This paper examines how the super-peer model can be used to handle membership management and resource discovery services in a multi-organizational Grid. A simulation analysis evaluates the performance of a resource discovery protocol; simulation results can be used to tune protocol
parameters in order to increase search efficiency. (literal)
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- Autore CNR
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