Enhancing scalability of trusted blockchains through optimal sharding
Document Type
Conference Proceeding
Publication Date
1-1-2021
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’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.
Identifier
85125864595 (Scopus)
ISBN
[9781665400589]
Publication Title
Proceedings 2021 IEEE International Conference on Smart Data Services Smds 2021
External Full Text Location
https://doi.org/10.1109/SMDS53860.2021.00037
First Page
226
Last Page
233
Grant
2020H233
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Zhang, Pei Yun; Zhou, Meng Chu; Zhen, Jing Ru; and Zhang, Ji Lai, "Enhancing scalability of trusted blockchains through optimal sharding" (2021). Faculty Publications. 4662.
https://digitalcommons.njit.edu/fac_pubs/4662
