Dynamic P2P Indexing and Search based on Compact Clustering
Author
dc.contributor.author
Marín, Mauricio
Author
dc.contributor.author
Gil Costa, Verónica
es_CL
Author
dc.contributor.author
Hernández, Cecilia
es_CL
Admission date
dc.date.accessioned
2014-01-10T18:48:31Z
Available date
dc.date.available
2014-01-10T18:48:31Z
Publication date
dc.date.issued
2009
Cita de ítem
dc.identifier.citation
Second International Workshop on Similarity Search and Applications, p. 124 - 131
en_US
Identifier
dc.identifier.isbn
978-0-7695-3765-8
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/120329
Abstract
dc.description.abstract
We propose a strategy to perform query processing
on P2P similarity search systems based on peers and superpeers.
We show that by approximating global but resumed
information about the indexed data in each peer, the average
amount of computation and communication performed to solve
range queries can be significantly reduced as compared to
alternative state of the art strategies based on local indexing
at peer level. We illustrate our technique by using an indexing
method based on compact clustering.