2011 IEEE Global Telecommunications Conference - GLOBECOM 2011 2011
DOI: 10.1109/glocom.2011.6133890
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FFT-Based Network Coding for Peer-to-Peer Content Delivery

Abstract: In this paper, we propose a structured peer-to-peer (P2P) distribution scheme based on Fast Fourier Transform (FFT) graphs. We build a peer-to-peer network that reproduces the FFT graph initially designed for hardware FFT codecs. This topology allows content delivery with a maximum diversity level for a minimum global complexity. The resulting FFTbased network is a structured architecture with an adapted network coding that brings flexibility upon content distribution and robustness upon the dynamic nature of … Show more

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Cited by 2 publications
(2 citation statements)
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“…Soro et al [53] proposed a network topology based on Fast Fourier Transform (FFT) graphs and adapting network coding to achieve robustness in the case of churn, and flexibility of content distribution. The authors claim that this topology can improve throughput and solve the rarest piece problem; however, neither analysis nor experimental work are presented by the authors to support their claim.…”
Section: Full Network Codingmentioning
confidence: 99%
“…Soro et al [53] proposed a network topology based on Fast Fourier Transform (FFT) graphs and adapting network coding to achieve robustness in the case of churn, and flexibility of content distribution. The authors claim that this topology can improve throughput and solve the rarest piece problem; however, neither analysis nor experimental work are presented by the authors to support their claim.…”
Section: Full Network Codingmentioning
confidence: 99%
“…A. Soro et al [53] proposed a network topology based on Fast Fourier Transform (FFT) graphs and adapting network coding to achieve robustness in the case of churn, and flexibility of content distribution. The authors claim that this topology can improve throughput and solve the rarest piece problem, however, neither analysis nor experimental work are presented by the authors to support their claim.…”
Section: Full Network Codingmentioning
confidence: 99%