@inproceedings{cf17c8f097994da2a15dba803b4c29cb,
title = "Revisit Raft Consistency Protocol on Private Blockchain System in High Network Latency",
abstract = "Raft{\textquoteright}s good performance in the CFT system makes it a mainstream implementation solution for the consistency of the private chain system. However, we found in practice that Raft{\textquoteright}s performance degradation is very serious when the network latency is greater than 1 ms. Therefore, we simulated the blockchain network environment and tested the TPS performance of Raft and Multi-raft. The results show that when the TPS is the same, Multi-raft reduces network traffic by 30\% compared with Raft{\textquoteright}s leader, and the CPU load increases slightly. Based on the experimental results, we discussed the optimization scheme of Raft on the geographically distributed system, and provided ideas for future research.",
keywords = "Consistency model, Network latency, Private chain, Raft",
author = "Ning Cao and Dianheng Jiang and Yang Liu and Yulan Zhou and Haiwen Du and Xueming Qiao and Yingxue Xia and Dongjie Zhu and Fang Yu and Wenbin Bi",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 7th International Conference on Artificial Intelligence and Security, ICAIS 2021 ; Conference date: 19-07-2021 Through 23-07-2021",
year = "2021",
doi = "10.1007/978-3-030-78618-2\_47",
language = "英语",
isbn = "9783030786175",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "571--579",
editor = "Xingming Sun and Xiaorui Zhang and Zhihua Xia and Elisa Bertino",
booktitle = "Advances in Artificial Intelligence and Security - 7th International Conference, ICAIS 2021, Proceedings",
address = "德国",
}