A Performance Study of Block Proposing Mechanism in Ethereum 2.0

Ethereum 2.0 (ETH2) marks a significant evolution from Ethereum 1.0 (ETHl), playing a central role in the Web3.0 infrastructure. At its core, the consensus protocol Gasper greatly affects system performance. Given that Gasper's parameters are empirically determined, there is a clear necessity for parameter tuning. This paper presents a simulation-based study that models the performance of the block proposing mechanism within Gasper. Our simulation results illustrate the impact of design parameters (e.g., block proposing interval) on throughput and non-forking probability. They may enable us to find optimal parameter configure to balance the two-performance metrics. These findings help enhance the system performance of ETH2.

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Published
2024-08-19
DOI
https://doi.org/10.1109/blockchain62396.2024.00076
Primary Topic
Caching and Content Delivery
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article
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A Performance Study of Block Proposing Mechanism in Ethereum 2.0

Li Feng, Qinglin Zhao, Yi Sun, Xiaofen Wang et al.
Caching and Content Delivery
article

A Performance Study of Block Proposing Mechanism in Ethereum 2.0

Li Feng, Qinglin Zhao, Yi Sun, Xiaofen Wang, Zijie Liu, Shuhan Qi
article en

Abstract

Ethereum 2.0 (ETH2) marks a significant evolution from Ethereum 1.0 (ETHl), playing a central role in the Web3.0 infrastructure. At its core, the consensus protocol Gasper greatly affects system performance. Given that Gasper's parameters are empirically determined, there is a clear necessity for parameter tuning. This paper presents a simulation-based study that models the performance of the block proposing mechanism within Gasper. Our simulation results illustrate the impact of design parameters (e.g., block proposing interval) on throughput and non-forking probability. They may enable us to find optimal parameter configure to balance the two-performance metrics. These findings help enhance the system performance of ETH2.

Vol. 1
Macau University of Science and Technology (MO), University of Electronic Science and Technology of China (CN), Chinese Academy of Sciences (CN), Institute of Computing Technology (CN)
Zero hunger
Openalex Percentile: Top 83%
Caching and Content Delivery
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A Performance Study of Block Proposing Mechanism in Ethereum 2.0 — Li Feng, Qinglin Zhao, et al. · (2024) | TGRS Research Map | TGRS