Measuring node decentralisation in blockchain peer to peer networks

New blockchain platforms are launching at a high cadence, each fighting for attention, adoption, and infrastructure resources. Several studies have measured the peer-to-peer (P2P) network decentralisation of Bitcoin and Ethereum (i.e., two of the largest used platforms). However, with the increasing...

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Main Authors: Andrew Howell, Takfarinas Saber, Malika Bendechache
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Blockchain: Research and Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2096720922000501
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author Andrew Howell
Takfarinas Saber
Malika Bendechache
author_facet Andrew Howell
Takfarinas Saber
Malika Bendechache
author_sort Andrew Howell
collection DOAJ
description New blockchain platforms are launching at a high cadence, each fighting for attention, adoption, and infrastructure resources. Several studies have measured the peer-to-peer (P2P) network decentralisation of Bitcoin and Ethereum (i.e., two of the largest used platforms). However, with the increasing demand for blockchain infrastructure, it is important to study node decentralisation across multiple blockchain networks, especially those containing a small number of nodes. In this paper, we propose NodeMaps, a data processing framework to capture, analyse, and visualise data from several popular P2P blockchain platforms, such as Cosmos, Stellar, Bitcoin, and Lightning Network. We compare and contrast the geographic distribution, the hosting provider diversity, and the software client variance in each of these platforms. Through our comparative analysis of node data, we found that Bitcoin and its Lightning Network Layer 2 protocol are widely decentralised P2P blockchain platforms, with the largest geographical reach and a high proportion of nodes operating on The Onion Router (TOR) privacy-focused network. Cosmos and Stellar blockchains have reduced node participation, with nodes predominantly operating in large cloud providers or well-known data centres.
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spelling doaj.art-f94e2e60cd914ad1a8a8727f95e38cb22023-04-07T06:49:52ZengElsevierBlockchain: Research and Applications2666-95362023-03-0141100109Measuring node decentralisation in blockchain peer to peer networksAndrew Howell0Takfarinas Saber1Malika Bendechache2Blockdaemon, Los Angeles, California, CA, USALero—The Irish Software Research Centre, Limerick, V94 NYD3, Ireland; School of Computer Science, National University of Ireland Galway, Galway, H91 TK33, IrelandLero—The Irish Software Research Centre, Limerick, V94 NYD3, Ireland; School of Computer Science, National University of Ireland Galway, Galway, H91 TK33, Ireland; ADAPT—Science Foundation Ireland Research Centre, Dublin 2, Ireland; Corresponding author. Lero—The Irish Software Research Centre, Limerick, V94 NYD3, Ireland.New blockchain platforms are launching at a high cadence, each fighting for attention, adoption, and infrastructure resources. Several studies have measured the peer-to-peer (P2P) network decentralisation of Bitcoin and Ethereum (i.e., two of the largest used platforms). However, with the increasing demand for blockchain infrastructure, it is important to study node decentralisation across multiple blockchain networks, especially those containing a small number of nodes. In this paper, we propose NodeMaps, a data processing framework to capture, analyse, and visualise data from several popular P2P blockchain platforms, such as Cosmos, Stellar, Bitcoin, and Lightning Network. We compare and contrast the geographic distribution, the hosting provider diversity, and the software client variance in each of these platforms. Through our comparative analysis of node data, we found that Bitcoin and its Lightning Network Layer 2 protocol are widely decentralised P2P blockchain platforms, with the largest geographical reach and a high proportion of nodes operating on The Onion Router (TOR) privacy-focused network. Cosmos and Stellar blockchains have reduced node participation, with nodes predominantly operating in large cloud providers or well-known data centres.http://www.sciencedirect.com/science/article/pii/S2096720922000501BlockchainPeer-to-PeerDecentralisationNetworksBitcoinLightning Network
spellingShingle Andrew Howell
Takfarinas Saber
Malika Bendechache
Measuring node decentralisation in blockchain peer to peer networks
Blockchain: Research and Applications
Blockchain
Peer-to-Peer
Decentralisation
Networks
Bitcoin
Lightning Network
title Measuring node decentralisation in blockchain peer to peer networks
title_full Measuring node decentralisation in blockchain peer to peer networks
title_fullStr Measuring node decentralisation in blockchain peer to peer networks
title_full_unstemmed Measuring node decentralisation in blockchain peer to peer networks
title_short Measuring node decentralisation in blockchain peer to peer networks
title_sort measuring node decentralisation in blockchain peer to peer networks
topic Blockchain
Peer-to-Peer
Decentralisation
Networks
Bitcoin
Lightning Network
url http://www.sciencedirect.com/science/article/pii/S2096720922000501
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