论文标题
在不同的测试方案下，有关IOTA 2.0原型网络（Goshimmer 0.8.3）能耗的报告
Report on the energy consumption of the IOTA 2.0 prototype network (GoShimmer 0.8.3) under different testing scenarios
论文作者
论文摘要
基于工作的分布式分类帐的高能量消耗已成为重要的环境问题。例如，比特币在一年中消耗的能源与发达国家一样多。与基于工作的DLT证明相比，替代性共识机制（例如股份证明）的能量大大减少。例如，建立在有向的无环图（DAG）体系结构的IOTA DLT使用的替代共识机制中，该机制比其他DLT所需的能量要少得多。由于（DLT）空间正在不断发展，因此，DLT实际消耗多少能量DLT的问题需要不断研究和回答。先前对IOTA网络能源消耗的研究表明，总体协议的优化与能源消耗的优化相关。计划的IOTA 2.0更新基于Goshimmer Research原型，有望通过删除网络的集中协调员来进一步优化协议。本报告介绍了衡量私人剧作家网络能源消耗的结果，同时将这些发现与先前对当前主网的研究进行了比较，这被称为chrysalis。本报告的主要发现是，与Chrysalis Network相比，IOTA 2.0研究原型既显示出改进又显示了能源消耗指标的增加。此外，本报告定义了一个模型，以估计IOTA网络的年度每年能源消耗。该模型对于将来的研究应该很重要，因为它可以估算运行IOTA网络及其碳排放的总成本。此外，拥有年度功耗指标可以与不同的DLT进行更好的客观比较。
The high energy consumption of proof of work-based distributed ledgers has become an important environmental concern. Bitcoin, for example, consumes as much energy in a year as a developed country. Alternative consensus mechanisms, such as proof of stake, have been shown to use drastically less energy than proof of work-based DLTs. For example, the IOTA DLT, built upon a directed acyclic graph (DAG) architecture, uses an alternative consensus mechanism that requires significantly less energy than other DLTs. Because the (DLT) space is constantly and rapidly evolving, the question of how much energy DLTs actually consume demands to be continuously studied and answered. Previous research into the energy consumption of the IOTA network has shown that an optimization in the overall protocol correlates to an optimization in energy consumption. The planned IOTA 2.0 update, built upon the GoShimmer research prototype, promises to further optimize the protocol by removing the network's centralized Coordinator. This report presents the results of measuring the energy consumption of a private GoShimmer network while comparing these findings to previous research into the current mainnet, which is called Chrysalis. The main findings of this report are that the IOTA 2.0 research prototype shows both improvements and increase in the energy consumption metrics compared to the Chrysalis network. Additionally, this report defines a model to estimate the total annual energy consumption of an IOTA network. This model should be significant for future research as it enables a way to estimate the total cost of running the IOTA network as well as its carbon emissions. Moreover, having an annual power consumption metric allows for better objective comparisons to different DLTs.
