Visualization of Ethereum P2P network topology and peer properties

Maeng, Soohoon; Essaid, Meryam; Lee, Changhyun; Park, Se Jin; Ju, Hongteak

doi:10.1002/nem.2175

Cited by 11 publications

(13 citation statements)

References 19 publications

(39 reference statements)

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“…Figure 8 presents the uncle rate when using the two protocols. When the block size is 0.02 MB which is close to the average block size of Ethereum observed in [31] (March 2020), the two protocols have almost identical block propagation delay. As the block size increases, the block propagation delay and uncle rate grow and CBR outperforms the Ethereum Wire Protocol increasingly.…”

Section: A Compact Block Relay Vs Eth Wire Protocolsupporting

confidence: 60%

“…The Bitcoin network is an unstructured peer-to-peer network which can be simulated using a random graph model [28]. The Ethereum network is a structured peer-to-peer network and has been proven to have the small-world property [29]- [31]. It can be simulated using the Watts-Strogatz model [32].…”

Section: B Information Propagationmentioning

confidence: 99%

“…The average degree d and a topology controlling parameter β are used to control the generation of different networks. We set d to 12 [34] and β to 1 to generate a random graph (Bitcoin), and set d to 19.747 and β to 0.24 to generate a small-world network (Ethereum) as observed in [31]. As presented in Algorithm 2, the GetP robability function calculates the probability of a connection between node i and node j.…”

Section: B Information Propagationmentioning

confidence: 99%

“…We first simulate Bitcoin using data from 2020 and compare the result with the realistic data presented in [23]. Then we simulate Ethereum observed in [31] and compare the result with the data obtained from Etherscan 1 and Ethstats 2 . The experiment is performed ten times and we take the average value as the result.…”

Section: Cblocksim Validationmentioning

confidence: 99%

“…Other popular simulators such as Bitcoin Simulator and SimBlock can only simulate Bitcoin and are short of simulation for transactions. All the experiments are performed to simulate Ethereum as observed in [31] on a Linux virtual machine with 1 CPU and 32 GB memory. We use the Ethereum configuration in Table I.…”

Section: Performance Evaluationmentioning

confidence: 99%

See 4 more Smart Citations

CBlockSim: A Modular High-Performance Blockchain Simulator

Ma¹,

Han²,

Du³

et al. 2022

Preprint

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Blockchain has attracted much attention from both academia and industry since emerging in 2008. Due to the inconvenience of the deployment of large-scale blockchains, blockchain simulators are used to facilitate blockchain design and implementation. We evaluate state-of-the-art simulators applied to both Bitcoin and Ethereum and find that they suffer from low performance and scalability which are significant limitations. To build a more general and faster blockchain simulator, we extend an existing blockchain simulator, i.e. BlockSim. We add a network module integrated with a network topology generation algorithm and a block propagation algorithm to generate a realistic blockchain network and simulate the block propagation efficiently. We design a binary transaction pool structure and migrate BlockSim from Python to C++ so that bitwise operations can be used to accelerate the simulation and reduce memory usage. Moreover, we modularize the simulator based on five primary blockchain processes. Significant blockchain elements including consensus protocols (PoW and PoS), information propagation algorithms (Gossip) and finalization rules (Longest rule and GHOST rule) are implemented in individual modules and can be combined flexibly to simulate different types of blockchains. Experiments demonstrate that the new simulator reduces the simulation time by an order of magnitude and improves scalability, enabling us to simulate more than ten thousand nodes, roughly the size of the Bitcoin and Ethereum networks. Two typical use cases are proposed to investigate network-related issues which are not covered by most other simulators.

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Section: A Compact Block Relay Vs Eth Wire Protocolsupporting

confidence: 60%

Section: B Information Propagationmentioning

confidence: 99%

Section: B Information Propagationmentioning

confidence: 99%

Section: Cblocksim Validationmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

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CBlockSim: A Modular High-Performance Blockchain Simulator

Ma¹,

Han²,

Du³

et al. 2022

Preprint

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Topology analysis of the Ripple transaction network

Jin,

Ye,

Lee

et al. 2023

Int J Network Mgmt

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The Ripple network is one typical blockchain‐based decentralized credit network, which supports money transfer without physical money movement by only transferring the credits between participants. It is critical to obtain a deep understanding on the characteristics of the payment networks while optimizing the network design and transaction routing. This paper presents a comprehensive analysis to the Ripple transaction network, including two subnets formed by the two key functionalities, that is, Ripple Direct Payment Network (RDPN) and Ripple Credit Payment Network (RCPN). The analysis is performed with different network metrics, including clustering coefficient, centrality, and so on. Furthermore, this paper provides an in‐depth analysis on the node degrees and edge weights, which reflect the number of transacted accounts of an account and the number of transactions between two accounts. The results show that the network is highly imbalanced and concentrated with a few nodes and edges holding most of the resources. Moreover, RDPN and RCPN show different characteristics in terms of transmitted and received transactions, the senders are more concentrated in RDPN, whereas in RCPN, the receivers are more concentrated.

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