HyperCuP - Hypercubes, ontologies, and efficient search on peer-to-peer networks

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Autoren

Externe Organisationen

  • Stanford University
  • Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
  • University of Southern California
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Details

OriginalspracheEnglisch
Seiten (von - bis)112-124
Seitenumfang13
FachzeitschriftLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Jahrgang2530
PublikationsstatusVeröffentlicht - 2003
Extern publiziertJa
VeranstaltungFirst International Workshop: AP2PC 2002 - Agents and Peer-to-Peer Computing - Bologna, Italien
Dauer: 15 Juli 200215 Juli 2002

Abstract

Peer-to-peer networks are envisioned to be deployed for a wide range of applications. However, P2P networks evolving in an unorganized manner suffer from serious scalability problems, limiting the number of nodes in the network, creating network overload and pushing search times to unacceptable limits. We address these problems by imposing a deterministic shape on P2P networks: We propose a graph topology which allows for very efficient broadcast and search, and we describe a broadcast algorithm that exploits the topology to reach all nodes in the network with the minimum number of messages possible. We provide an efficient topology construction and maintenance algorithm which, crucial to symmetric peer-to-peer networks, does neither require a central server nor super nodes in the network. Nodes can join and leave the self-organizing network at any time, and the network is resilient against failure. Moreover, we show how our scheme can be made even more efficient by using a global ontology to determine the organization of peers in the graph topology, allowing for efficient concept-based search.

ASJC Scopus Sachgebiete

Zitieren

HyperCuP - Hypercubes, ontologies, and efficient search on peer-to-peer networks. / Schlosser, Mario; Sintek, Michael; Decker, Stefan et al.
in: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Jahrgang 2530, 2003, S. 112-124.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Schlosser, M, Sintek, M, Decker, S & Nejdl, W 2003, 'HyperCuP - Hypercubes, ontologies, and efficient search on peer-to-peer networks', Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Jg. 2530, S. 112-124. https://doi.org/10.1007/3-540-45074-2_11
Schlosser, M., Sintek, M., Decker, S., & Nejdl, W. (2003). HyperCuP - Hypercubes, ontologies, and efficient search on peer-to-peer networks. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2530, 112-124. https://doi.org/10.1007/3-540-45074-2_11
Schlosser M, Sintek M, Decker S, Nejdl W. HyperCuP - Hypercubes, ontologies, and efficient search on peer-to-peer networks. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2003;2530:112-124. doi: 10.1007/3-540-45074-2_11
Schlosser, Mario ; Sintek, Michael ; Decker, Stefan et al. / HyperCuP - Hypercubes, ontologies, and efficient search on peer-to-peer networks. in: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2003 ; Jahrgang 2530. S. 112-124.
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AU - Sintek, Michael

AU - Decker, Stefan

AU - Nejdl, Wolfgang

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