Impact of Geo-distribution and Mining Pools on Blockchains: A Study of Ethereum

Silva, Paulo; Vavřička, David; Barreto, João Pedro; Matos, Miguel

doi:10.48550/arxiv.2005.06356

Cited by 2 publications

(2 citation statements)

References 9 publications

(28 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Contribution of block propagation times to these websites are optional and do not represent all of the Ethereum network. Silva et al (2020) [18] conducted a month-long experiment from 1 April 2019 to 2 May 2019, collecting Ethereum network data, including block propagation times between geographically diverse nodes. We combined information from these three data sources for the prior probabilities, taking into account that changes in node latency and bandwidth will have an effect on block propagation time, which in turn has an effect on uncle rates.…”

Section: Page 31)mentioning

confidence: 99%

Stateful to Stateless: Modelling Stateless Ethereum

Johnson¹,

Hyland-Wood²,

Madsen

et al. 2022

Electron. Proc. Theor. Comput. Sci.

View full text Add to dashboard Cite

The concept of 'Stateless Ethereum' was conceived with the primary aim of mitigating Ethereum's unbounded state growth. The key facilitator of Stateless Ethereum is through the introduction of 'witnesses' into the ecosystem. The changes and potential consequences that these additional data packets pose on the network need to be identified and analysed to ensure that the Ethereum ecosystem can continue operating securely and efficiently. In this paper we propose a Bayesian Network model, a probabilistic graphical modelling approach, to capture the key factors and their interactions in Ethereum mainnet, the public Ethereum blockchain, focussing on the changes being introduced by Stateless Ethereum to estimate the health of the resulting Ethereum ecosystem. We use a mixture of empirical data and expert knowledge, where data are unavailable, to quantify the model. Based on the data and expert knowledge available to use at the time of modelling, the Ethereum ecosystem is expected to remain healthy following the introduction of Stateless Ethereum.

show abstract

Section: Page 31)mentioning

confidence: 99%

Stateful to Stateless: Modelling Stateless Ethereum

Johnson¹,

Hyland-Wood²,

Madsen

et al. 2022

Electron. Proc. Theor. Comput. Sci.

View full text Add to dashboard Cite

show abstract

“…asia refers to mining pools that are used broadly across Asia (including China, Japan, South Korea, and throughout Southeast Asia), while china is meant for pools used primarily by Chinese miners. 1: An excerpt of mappings from mining pools to regions based on data from Silva et al[57].…”

mentioning

confidence: 99%

Ethereum Emissions: A Bottom-up Estimate

McDonald¹

2021

Preprint

View full text Add to dashboard Cite

The Ethereum ecosystem is maintained by a distributed global network of computers that currently require massive amounts of computational power. Previous work on estimating the energy use and emissions of the Ethereum network has relied on top-down economic analysis and rough estimates of hardware efficiency and emissions factors. In this work we provide a bottom-up analysis that works from hashrate to an energy usage estimate, and from mining locations to an emissions factor estimate, and combines these for an overall emissions estimate.

show abstract

Impact of Geo-distribution and Mining Pools on Blockchains: A Study of Ethereum

Cited by 2 publications

References 9 publications

Stateful to Stateless: Modelling Stateless Ethereum

Stateful to Stateless: Modelling Stateless Ethereum

Ethereum Emissions: A Bottom-up Estimate

Contact Info

Product

Resources

About