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A hamming distance and fuzzy logic-based algorithm for P2P content distribution in enterprise networks

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Abstract

The rise in cloud storage and services in enterprise networks requires agile methods of content distribution, such as general-purpose files, software patches, image files, and other information. The work in this paper proposes a peer selection algorithm in BitTorrent to distribute content in enterprise networks. Peers execute this algorithm with a new special role called Internal Swarm Coordinator, ISC for short. Additions to the protocol allow peers from an Internal Swarm to cooperate in a coordinated manner, with an ISC acting as an orchestra director for a given broadcast domain. The proposed scheme uses two approaches: a Hamming distance to select the best peers enforcing productive connections between hosts, and fuzzy logic to handle peer load. This work includes a UDP-based protocol to select ISCs, and a procedure to define the behavior of this unique host. Also, to ensure backward compatibility, a description of how other peers can interact with this special role is given.

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Authors and Affiliations

  1. H. Colegio Militar 4700, Chihuahua, Mexico

    Alberto Aguilar, Camilo Lozoya & Luis M. Orona

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  1. Alberto Aguilar
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  2. Camilo Lozoya
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  3. Luis M. Orona
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Correspondence to Alberto Aguilar.

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This article is part of the Topical Collection: Special Issue on Big Data and Smart Computing in Network Systems

Guest Editors: Jiming Chen, Kaoru Ota, Lu Wang, and Jianping He

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Aguilar, A., Lozoya, C. & Orona, L.M. A hamming distance and fuzzy logic-based algorithm for P2P content distribution in enterprise networks. Peer-to-Peer Netw. Appl. 12, 1323–1335 (2019). https://doi.org/10.1007/s12083-018-0711-8

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