Decentralized Finance (DeFi), propelled by Blockchain technology, has revolutionized traditional financial systems, improving transparency, reducing costs, and fostering financial inclusion. However, transaction activities in these systems fluctuate significantly and the throughput can be effected. To address this issue, we propose a Dynamic Mining Interval (DMI) mechanism that adjusts mining intervals in response to block size and trading volume to enhance the transaction throughput of Blockchain platforms. Besides, in the context of public Blockchains such as Bitcoin, Ethereum, and Litecoin, a shift towards transaction fees dominance over coin-based rewards is projected in near future. As a result, the ecosystem continues to face threats from deviant mining activities such as Undercutting Attacks, Selfish Mining, and Pool Hopping, among others. In recent years, Dynamic Transaction Storage (DTS) strategies were proposed to allocate transactions dynamically based on fees thereby stabilizing block incentives. However, DTS' utilization of Merkle tree leaf nodes can reduce system throughput. To alleviate this problem, in this paper, we propose an approach for combining DMI and DTS. Besides, we also discuss the DMI selection mechanism for adjusting mining intervals based on various factors.

翻译：由区块链技术驱动的去中心化金融（DeFi）已彻底变革传统金融体系，提升了透明度，降低了成本，并促进了金融普惠。然而，这些系统中的交易活动波动显著，吞吐量可能因此受到影响。为解决此问题，我们提出了一种动态挖矿间隔（DMI）机制，该机制根据区块大小和交易量调整挖矿间隔，以提升区块链平台的交易吞吐量。此外，在诸如比特币、以太坊和莱特币等公有链的背景下，预计在不远的将来，交易费用将取代区块奖励成为主要收入来源。因此，生态系统仍面临异常挖矿活动的威胁，例如削减攻击、自私挖矿和矿池跳跃等。近年来，动态交易存储（DTS）策略被提出，以根据费用动态分配交易，从而稳定区块激励。然而，DTS对默克尔树叶子节点的利用可能降低系统吞吐量。为缓解此问题，本文提出了一种结合DMI与DTS的方案。此外，我们还讨论了基于多种因素调整挖矿间隔的DMI选择机制。