Impact of Geo-distribution and Mining Pools on Blockchains: A Study of Ethereum
作者： João Barreto , Miguel Matos , Paulo Silva , David Vavřička
DOI:
关键词: Key (cryptography) 、 Distribution (economics) 、 Adversarial system 、 Leverage (statistics) 、 Set (abstract data type) 、 Blockchain 、 Leverage (finance) 、 Geographical dispersion 、 Order (exchange) 、 Computer science 、 Data science 、 Block (data storage)
摘要: Given the large adoption and economical impact of permissionless blockchains, complexity underlying systems adversarial environment in which they operate, it is fundamental to properly study understand emergent behavior properties these systems. We describe our experience on a detailed, one-month Ethereum network from several geographically dispersed observation points. leverage multiple geographic vantage points assess key pillars Ethereum, namely geographical dispersion, efficiency, blockchain efficiency security, mining pools. Among other new findings, we identify previously undocumented forms selfish show that prevalence powerful pools exacerbates block propagation delays. Furthermore, provide set open measurement processing tools, as well data collected measurements, order promote further research understanding blockchains.
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