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Computer Science > Information Theory

arXiv:2605.15715v1 (cs)
[Submitted on 15 May 2026]

Title:Optimum Peer-Turbo: A Scalable and Efficient Solution for P2P Broadcasting

Authors:Muriel Médard, Kishori Konwar, Moritz Grundei, Vipindev Adat Vasudevan
View a PDF of the paper titled Optimum Peer-Turbo: A Scalable and Efficient Solution for P2P Broadcasting, by Muriel M\'edard and 3 other authors
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Abstract:Blockchain systems such as Solana or Monad employ tree- or star-shaped broadcast topologies in which a single source node disseminates message shards to a set of target peers within a strictly bounded time window. In these architectures, shard propagation must complete before the next consensus step, making timely delivery to a large fraction of the validator set essential. A fundamental limitation of such designs is that the outbound bandwidth of the source node constitutes the primary system bottleneck. In this paper, we introduce peer Turbo, a technique that allows target nodes to exchange shards using Random Linear Network Coding (RLNC), thereby assisting each other in completing decoding without requiring explicit shard state coordination. We use a tractable fluid approximation of the degree of freedom distribution of peer-Turbo-enabled systems show that this approach reduces source bandwidth required for a set service quality by up to one order of magnitude, or equivalently reduces propagation latency by one order of magnitude under fixed bandwidth constraints.
Subjects: Information Theory (cs.IT)
Cite as: arXiv:2605.15715 [cs.IT]
  (or arXiv:2605.15715v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2605.15715
arXiv-issued DOI via DataCite

Submission history

From: Moritz Grundei [view email]
[v1] Fri, 15 May 2026 08:07:04 UTC (477 KB)
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