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Simulating Network Coding for Accelerating Tit-for-Tat in Peer-to-Peer Content Sharing

Abstract : The deterministic network coding has several advantages over random network coding methods, like lower communication overhead and faster linear independence check. We would like to create a P2P content sharing simulation environment, where nodes communicate with deterministic network coding to observe the different properties of deterministic source coding. Our simulator is based on the Peersim generic P2P simulation framework. We examine the diversity of block combinations, as this property is the key for increasing the P2P network reliability.
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https://hal.inria.fr/hal-01543140
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Ákos Ludányi, Tamás Lukovszki, Péter Ekler. Simulating Network Coding for Accelerating Tit-for-Tat in Peer-to-Peer Content Sharing. 18th European Conference on Information and Communications Technologies (EUNICE), Aug 2012, Budapest, Hungary. pp.408-411, ⟨10.1007/978-3-642-32808-4_37⟩. ⟨hal-01543140⟩

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