Perigee: Efficient Peer-to-Peer Network Design for Blockchains
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Abstract (arXiv)
A key performance metric in blockchains is the latency between when a transaction is broadcast and when it is confirmed (the so-called, confirmation latency). While improvements in consensus techniques can lead to lower confirmation latency, a fundamental lower bound on confirmation latency is the propagation latency of messages through the underlying peer-to-peer (p2p) network (inBitcoin, the propagation latency is several tens of seconds). The de facto p2p protocol used by Bitcoin and other blockchains is based on random connectivity: each node connects to a random subset of nodes. The induced p2p network topology can be highly suboptimal since it neglects geographical distance, differences in bandwidth, hash-power and computational abilities across peers. We present Perigee, a decentralized algorithm that automatically learns an efficient p2p topology tuned to the aforementioned network heterogeneities, purely based on peers' interactions with their neighbors. Motivated by the literature on the multi-armed bandit problem, Perigee optimally balances the tradeoff between retaining connections to known well-connected neighbors, and exploring new connections to previously-unseen neighbors. Experimental evaluations show that Perigee reduces the latency to broadcast by 33%. Lastly Perigee is simple, computationally lightweight, adversary-resistant, and compatible with the selfish interests of peers, making it an attractive p2p protocol for blockchains.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Jun 2020.
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Citing papers per year: 2023: 2; 2024: 3.
5 papers.
- 2024Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graphcited by 6
- 2024A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopescited by 2
- 2023Cobalt: Optimizing Mining Rewards in Proof-of-Work Network Gamescited by 0
- 2023Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensingcited by 0
- 2024A Survey on Blockchain-based Supply Chain Finance with Progress and Future directionscited by 0
- 2024A Survey on Blockchain-based Supply Chain Finance with Progress and Future directions14 Aug 2024
- 2024A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopes11 Jul 2024
- 2024Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph14 Feb 2024
- 2023Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing19 Dec 2023
- 2023Cobalt: Optimizing Mining Rewards in Proof-of-Work Network Games10 Jul 2023