Effect of Miner Incentive on the Confirmation Time of Bitcoin Transactions

Befekadu G. Gebraselase, B. Helvik, Yuming Jiang
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引用次数: 1

Abstract

Blockchain is a technology that provides a distributed ledger that stores previous records while maintaining consistency and security. Bitcoin is the first and largest decentralized electronic cryptographic system that uses blockchain technology. It faces a challenge in making all the nodes synchronize and have the same overall view with the cost of scalability and performance. In addition, with miners' financial interest playing a significant role in choosing transactions from the backlog, small fee or small fee per byte value transactions will exhibit more delays. To study the issues related to the system's performance, we developed an $M(t)/M^{N}/1$ model. The backlog's arrival follows an inhomogeneous Poison process to the system that has infinite buffer capacity, and the service time is distributed exponentially, which removes $N$ transactions at time. Besides validating the model with measurement data, we have used the model to study the reward distribution when miners take transaction selection strategies like fee per byte, fee-based, and FIFO. The analysis shows that smaller fee transactions exhibit higher waiting times, even with increasing the block size. Moreover, the miner transaction selection strategy impacts the final gain.
矿工激励对比特币交易确认时间的影响
区块链是一种提供分布式账本的技术,它可以存储以前的记录,同时保持一致性和安全性。比特币是第一个也是最大的使用区块链技术的去中心化电子加密系统。它面临的挑战是使所有节点同步,并以可伸缩性和性能为代价获得相同的整体视图。此外,由于矿工的经济利益在从积压中选择交易方面发挥着重要作用,小额费用或每字节价值小额费用的交易将表现出更多的延迟。为了研究与系统性能相关的问题,我们开发了一个$M(t)/M^{N}/1$模型。对于具有无限缓冲容量的系统,积压的到达遵循非同质的Poison过程,并且服务时间呈指数分布,每次删除$N$事务。除了用测量数据验证模型外,我们还使用该模型研究了矿工采取交易选择策略(如每字节收费、基于收费和FIFO)时的奖励分布。分析表明,即使增加区块大小,较小的费用交易也表现出更高的等待时间。此外,矿工交易选择策略影响最终收益。
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