  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.
