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Advances In Peer-To-Peer Content Search

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Abstract

Peer-to-peer (P2P) computer networks have recently received tremendous attention due to their inherent scalability and flexibility, which facilitates a broad spectrum of innovative multimedia applications. Such networks rely on the power of participant nodes of the network (called peers) for communications and computation. Traditional applications of P2P multimedia include decentralized file sharing and content distribution. Yet, the value of the virtually unlimited amount of data distributed in the P2P network will be sacrificed if effective and efficient ways to locate the content are missing. This challenge has stimulated extensive research in recent years, and many new P2P content search methods have been proposed. This paper provides a timely review of influential work in the area of peer-to-peer (P2P) content search. We begin with a survey of text-based P2P search mechanisms and continue with an exposition of content-based and semantic-based approaches followed by a discussion of future directions.

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Authors and Affiliations

  1. School of Computing & Mathematical Sciences, Liverpool John Moores University, Liverpool, UK

    Madjid Merabti

  2. AT&T Labs—Research, Middletown, NJ, USA

    Zhu Liu

  3. Huawei Technologies (USA), Bridgewater, NJ, USA

    Heather Yu

  4. Electrical & Computer Engineering Department, Texas A&M University, College Station, TX, USA

    Deepa Kundur

Authors
  1. Madjid Merabti
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  2. Zhu Liu
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  3. Heather Yu
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  4. Deepa Kundur
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Correspondence to Zhu Liu.

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Merabti, M., Liu, Z., Yu, H. et al. Advances In Peer-To-Peer Content Search. J Sign Process Syst Sign Image Video Technol 59, 309–318 (2010). https://doi.org/10.1007/s11265-009-0343-6

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  • DOI: https://doi.org/10.1007/s11265-009-0343-6

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