一种面向可持续高吞吐量比特币的高效动态交易存储机制
An Efficient Dynamic Transaction Storage Mechanism for Sustainable High Throughput Bitcoin
AI总结：
本文提出高效动态交易存储机制 EDTS，结合布谷鸟过滤器与动态交易存储策略，并利用 U-NSGA-III 优化，在交易手续费制度下实现 325.3 TPS 的可持续高吞吐量，性能优于比特币 NG。
摘要：
随着基于币的奖励逐渐减少，交易手续费在比特币中作为挖矿激励发挥着重要作用。本文提出了一种名为高效动态交易存储（EDTS）的新机制，用于在区块之间动态分配交易，以实现高效的存储利用。通过结合布谷鸟过滤器与动态交易存储（DTS）策略，EDTS 能够提升可扩展性，同时在比特币进入交易手续费制度之后仍保持可持续性。除了防止交易手续费制度下的异常挖矿行为外，EDTS 还能根据交易手续费提供差异化的传输优先级，同时允许投资者承诺支付更多的交易手续费。在 EDTS 中，我们应用多目标优化算法 U-NSGA-III 来寻找最佳的 DTS 策略及其相应属性。实验结果表明，EDTS 机制与优化后的 DTS 策略相结合，可以实现 325.3 TPS 的吞吐量。实验结果揭示，EDTS 的可扩展性提升优于比特币 NG 的性能，后者是已知最佳的链上扩容方案，同时 EDTS 还能在交易手续费制度下保持可持续性。
英文摘要：
As coin-based rewards dwindle, transaction fees play an important role as mining incentives in Bitcoin. In this paper, we propose a novel mechanism called Efficient Dynamic Transaction Storage (EDTS) for dynamically allocating transactions among blocks to achieve efficient storage utilization. By leveraging a combination of Cuckoo Filter and Dynamic Transaction Storage (DTS) strategies, EDTS is able to improve the scalability while remaining sustainable even after the Bitcoin enters a transaction-fee regime. In addition to preventing deviant mining behaviors under the transaction-fee regime, EDTS can also provide differentiated transmission priorities based on transaction fees while allowing the investors to engage in pledging more transaction fees. In EDTS, we applied the multi-objective optimization algorithm U-NSGA-III to find the best DTS strategy and its corresponding attributes. Experimental results show that the EDTS mechanism together with the optimized DTS strategy can achieve a throughput of 325.3 TPS. The experimental results reveal that the scalability improvement of EDTS is superior to the performance of Bitcoin NG, which is the best known on-chain scaling solution, while maintaining the sustainability under the transaction-fee regime.
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