踩油门？推荐Ethereum Gas价格的更好方法
Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price
摘要：
在以太坊网络中，矿工被激励根据发送者指定的天然气价格将交易包含在块中。因此，交易的发送者面临着及时包含和交易成本之间的权衡。现有的推荐机制在每个区块的基础上汇总最近的天然气价格数据以建议天然气价格。我们进行了历史区块数据的实证分析，以激励使用预测模型的天然气价格建议。随后，我们提出了一种新的机制，该机制结合了基于深度学习的价格预测模型以及由用户特定紧急值参数化的算法来推荐天然气价格。在对真实世界数据的全面评估中，我们发现，与最广泛使用的以太坊客户端的天然气价格推荐机制相比，我们的方法平均节省了50%以上的成本，同时只产生了1.3个区块的包含延迟。
英文摘要：
In the Ethereum network, miners are incentivized to include transactions in a block depending on the gas price specified by the sender. The sender of a transaction therefore faces a trade-off between timely inclusion and cost of his transaction. Existing recommendation mechanisms aggregate recent gas price data on a per-block basis to suggest a gas price. We perform an empirical analysis of historic block data to motivate the use of a predictive model for gas price recommendation. Subsequently, we propose a novel mechanism that combines a deep-learning based price forecasting model as well as an algorithm parameterized by a user-specific urgency value to recommend gas prices. In a comprehensive evaluation on real-world data, we show that our approach results on average in costs savings of more than 50% while only incurring an inclusion delay of 1.3 blocks, when compared to the gas price recommendation mechanism of the most widely used Ethereum client.
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。
