论文标题
基于工作证明的区块链的一般难度控制算法
A General Difficulty Control Algorithm for Proof-of-Work Based Blockchains
论文作者
论文摘要
设计有效的难度控制算法是基于工作证明（POW）区块链的基本问题，因为网络哈希速率正在随机变化。本文提出了一种一般难度控制算法，并为基于POW的区块链的难度调整规则提供了见解。所提出的算法包括一个两层神经网络。它的内存成本较低，同时满足了更新的快速效果和低波动性要求。模拟中使用了以太坊的实际数据来证明所提出的算法在控制块难度方面具有更好的性能。
Designing an efficient difficulty control algorithm is an essential problem in Proof-of-Work (PoW) based blockchains because the network hash rate is randomly changing. This paper proposes a general difficulty control algorithm and provides insights for difficulty adjustment rules for PoW based blockchains. The proposed algorithm consists a two-layer neural network. It has low memory cost, meanwhile satisfying the fast-updating and low volatility requirements for difficulty adjustment. Real data from Ethereum are used in the simulations to prove that the proposed algorithm has better performance for the control of the block difficulty.
