@inproceedings{33c5ac1f76404005a1398d0e13cd5e26,
title = "Enhancing scalability of trusted blockchains through optimal sharding",
abstract = "Sharding technology has been rapidly developed to improve blockchain scalability in recent years. However, in practical applications, a blockchain sharding system may face such issues as malicious node attacks and large cross-shard communications. An optimization method is thus demanded to improve their sharding performance. Based on the status and behavioral data of shard nodes stored in a trusted blockchain, can node trust be calculated and used to improve a sharding-based blockchain{\textquoteright}s security? To answer this question, this work presents a sharding model to optimize fault tolerance ratio, the number of cross-shard transactions, and shard trust. Its application to a blockchain system can help it improve the credibility of its shard transaction processing and reduce its transaction delay, thereby enhancing the scalability of over the state of the art. Some open issues are discussed.",
keywords = "Blockchain, Optimization, Scalability, Sharding, Trust, Trust computing, Trusted blockchain",
author = "Zhang, {Pei Yun} and Zhou, {Meng Chu} and Zhen, {Jing Ru} and Zhang, {Ji Lai}",
note = "Funding Information: The work was supported by National Natural Science Foundation of China under grants 61872006, Scientific Research Activities Foundation of Academic and Technical Leaders and Reserve Candidates in Anhui Province under grant 2020H233, Top-notch Discipline (specialty) Talents Foundation in Colleges and Universities of Anhui Province under grant gxbj2020057, and the Startup Foundation for New Talents of NUIST. Publisher Copyright: {\textcopyright}2021 IEEE; 2021 IEEE International Conference on Smart Data Services, SMDS 2021 ; Conference date: 05-09-2021 Through 11-09-2021",
year = "2021",
doi = "10.1109/SMDS53860.2021.00037",
language = "English (US)",
series = "Proceedings - 2021 IEEE International Conference on Smart Data Services, SMDS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "226--233",
editor = "Nimanthi Atukorala and Chang, {Carl K.} and Ernesto Damiani and {Fu Lizhi}, Min and George Spanoudakis and Mudhakar Srivatsa and Zhongjie Wang and Jia Zhang",
booktitle = "Proceedings - 2021 IEEE International Conference on Smart Data Services, SMDS 2021",
address = "United States",
}