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ALVIS Peers: A Scalable Full-text Peer-to-Peer Retrieval Engine

Summary: ALVIS Peers: A Scalable Full-text Peer-to-Peer
Retrieval Engine
Toan Luu, Fabius Klemm, Ivana Podnar, Martin Rajman, Karl Aberer
Ecole Polytechnique Fédérale de Lausanne (EPFL)
School of Computer and Communication Sciences
{vinhtoan.luu, fabius.klemm, ivana.podnar, martin.rajman, karl.aberer}@epfl.ch
We present Alvis peers, a full-text P2P retrieval engine
designed to offer retrieval performance comparable to cen-
tralized solutions while scaling to a very large number of
peers. It is the result of our research efforts within the
project Alvis1
that aims at building a truly-distributed se-
mantic search engine. To cope with problem of unscal-
able bandwidth consumption in the P2P network, the en-
gine implements a novel retrieval model that indexes highly-
discriminative keys (HDKs)--terms and term sets appearing
in a limited number of collection documents. Our prototype
is a fully-functional retrieval engine built over a structured
P2P network. It includes a component for HDK-based in-


Source: Aberer, Karl - Faculté Informatique et Communications, Ecole Polytechnique Fédérale de Lausanne


Collections: Computer Technologies and Information Sciences