More than 1000 distributed ledger technology (DLT) systems raising $600 billion in investment in 2016 feature the unprecedented and disruptive potential of blockchain technology. A systematic and data-driven analysis, comparison and rigorous evaluation of the different design choices of distributed ledgers and their implications is a challenge. The rapidly evolving nature of the blockchain landscape hinders reaching a common understanding of the techno-socio-economic design space of distributed ledgers and the cryptoeconomies they support. To fill this gap, this paper makes the following contributions: (i) A conceptual architecture of DLT systems with which (ii) a taxonomy is designed and (iii) a rigorous classification of DLT systems is made using real-world data and wisdom of the crowd. (iv) A DLT design guideline is the end result of applying machine learning methodologies on the classification data. Compared to related work and as defined in earlier taxonomy theory, the proposed taxonomy is highly comprehensive, robust, explanatory and extensible. The findings of this paper can provide new insights and better understanding of the key design choices evolving the modeling complexity of DLT systems, while identifying opportunities for new research contributions and business innovation.

中文翻译：

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解密分布式账本设计——分类、分类和区块链社区评估

1000 多个分布式账本技术 (DLT) 系统在 2016 年筹集了 6000 亿美元的投资，具有区块链技术前所未有的颠覆性潜力。对分布式账本的不同设计选择及其影响进行系统和数据驱动的分析、比较和严格评估是一项挑战。区块链格局快速发展的性质阻碍了对分布式账本的技术-社会-经济设计空间及其支持的加密经济达成共识。为了填补这一空白，本文做出了以下贡献：(i) DLT 系统的概念架构，(ii) 设计了分类法，以及 (iii) 使用现实世界的数据和智慧对 DLT 系统进行了严格的分类。人群。(iv) DLT 设计指南是将机器学习方法应用于分类数据的最终结果。与早期分类理论中定义的相关工作相比，所提出的分类具有高度综合性、稳健性、解释性和可扩展性。本文的发现可以提供新的见解和更好地理解发展 DLT 系统建模复杂性的关键设计选择，同时确定新的研究贡献和业务创新的机会。