论文标题
踏上汽油？推荐以太坊气价的更好方法
Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price
论文作者
论文摘要
在以太坊网络中，根据发件人指定的汽油价格，矿工被激励将交易包括在一个区块中。因此，交易的发件人面临及时纳入和交易成本之间的权衡。现有的推荐机制以每块为基础汇总了最新的气价数据，以提示气价。我们对历史块数据进行了经验分析，以激励使用预测模型用于气价建议。随后，我们提出了一种新颖的机制，该机制结合了基于深度学习的价格预测模型，以及由用户特定的紧急情况值参数的算法，以推荐汽油价格。在对现实世界数据的全面评估中，我们表明，与使用最广泛使用的以太坊客户的气价建议机制相比，我们的方法平均节省了50％以上，而仅产生1.3个块的包含延迟。
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.
