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Benchmarks and Models for Blockchain: Consensus Algorithms

机译：区块链的基准和模型：共识算法

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摘要

In this presentation we consider blockchain from a performance engineering perspective, with an emphasis on consensus algorithms. A set of examples of performance characteristics and challenges of public blockchains serves as introduction to the presentation. These examples motivate a list of main topics that require further analysis by the research community, in both public and private blockchain variants. This list considers performance engineering challenges across the different layers of blockchain systems, which we identify as system, connector, and incentives layers, respectively. We go in some more depth regarding the evaluation of consensus algorithms, such as Proof of Work, which are a core element of the connector layer. In the presentation we will advocate probabilistic verification as a key approach to evaluate different consensus algorithms with respect to practically meaningful metrics. Throughout the talk, we present snippets of our recent research results in the area of modelling and benchmarking blockchain systems [1, 2, 3, 4, 5, 6].
机译：在本演示中，我们从性能工程的角度考虑区块链，重点是共识算法。演示的介绍包括一组公共区块链的性能特征和挑战示例。这些示例激发了主要话题列表，需要公共和私有区块链变体中的研究社区进一步分析。该列表考虑了跨区块链系统不同层的性能工程挑战，我们分别将其识别为系统，连接器和激励层。我们将深入探讨共识算法的评估，例如工作量证明，这是连接器层的核心要素。在演示中，我们将提倡概率验证作为评估关于实际有意义指标的不同共识算法的关键方法。在整个演讲中，我们将介绍我们在区块链系统建模和基准测试领域的最新研究成果摘要[1,2,3,4,5,6]。

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