XBlock-EOS：从EOSIO中提取和探索区块链数据
XBlock-EOS: Extracting and Exploring Blockchain Data From EOSIO
摘要：
基于区块链的加密货币和应用在区块链研究界蓬勃发展。来自不同区块链系统的海量数据不仅带来了巨大的商业价值，也给异构区块链数据的数据分析带来了技术挑战。与比特币和以太坊不同，EOSIO在资源管理、共识机制和高吞吐量方面的独特架构设计，使其具有更丰富的多样性和更高的区块链数据量。尽管它很受欢迎（例如，自2018年6月8日推出以来，截至2019年11月14日产生了89，800，000个区块），很少有人对EOSIO的数据分析进行研究。为了填补这一空白，我们收集和处理来自EOSIO的最新链上数据。我们将这些处理良好的EOSIO数据集命名为XBlock-EOS，它由7个处理良好的数据集组成：1）Block，Transaction和Action，2）内部和外部EOS Transfer Action，3）Contract Information，4）Contract Invocation，5）Token Action，6）Account Creation，7）Resource Management。处理和分析大量原始EOSIO数据并建立从原始原始数据到细粒度数据集的映射是具有挑战性的，因为它需要大量的工作来提取各种类型的数据以及关于软件工程和数据分析的复杂知识。同时，我们对这些数据集进行了统计和探索。此外，我们还概述了基于XBlock-EOS的可能的研究机会。
英文摘要：
Blockchain-based cryptocurrencies and applications have flourished in blockchain research community. Massive data generated from diverse blockchain systems bring not only huge business values but also technological challenges in data analytics of heterogeneous blockchain data. Different from Bitcoin and Ethereum, EOSIO has richer diversity and a higher volume of blockchain data due to its unique architectural design in resource management, consensus scheme and high throughput. Despite its popularity (e.g., 89,800,000 blocks generated till November 14, 2019 since its launch on June 8, 2018), few studies have been made on data analysis of EOSIO. To fill this gap, we collect and process the up-to-date on-chain data from EOSIO. We name these well-processed EOSIO datasets as XBlock-EOS, which consists of 7 well-processed datasets: 1) Block, Transaction and Action, 2) Internal and External EOS Transfer Action, 3) Contract Information, 4) Contract Invocation, 5) Token Action, 6) Account Creation, 7) Resource Management. It is challenging to process and analyze a high volume of raw EOSIO data and establish the mapping from original raw data to the well-grained datasets since it requires substantial efforts in extracting various types of data as well as sophisticated knowledge on software engineering and data analytics. Meanwhile, we present statistics and exploration on these datasets. Moreover, we also outline the possible research opportunities based on XBlock-EOS.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
