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Dynamic sharding adaptive model for blockchain

Zhai Shepinga,b
Liu Jiayitenga
Yang Ruia
Zhu Pengjua
a. School of Computer Science, b. Shaanxi Key Laboratory of Network Data Analysis & Intelligent Processing, Xi'an University of Posts & Telecommunications, Xi'an 710121, China

Abstract

Sharding mechanism is a way to address performance bottlenecks in blockchain such as low throughput and high communication complexity. However, in existing sharding systems, transactions across shards can be processed in parallel, inevitably leading to frequent cross-shard transactions which increase confirmation times compared to intra-shard transactions. As the number of cross-shard transactions increases, the efficiency of the sharding system decreases. This paper proposed a dynamic sharding adaptive model to enhance the throughput and efficiency of blockchain platforms. By dynamically splitting data into the same shard based on transaction data correlation, multiple highly correlated shards were adaptively merged into the same shard. To validate the dynamic sharding adaptive model for blockchain, it conducted experiments using Hyperledger. Experimental results demonstrate that the proposed model can enhance the scalability of blockchain sharding systems while ensuring security and consistency.

Foundation Support

国家自然科学基金资助项目(61373116)
工业和信息化部通信软科学资助项目(2018-R-26)
陕西省教育厅科学研究计划资助项目(18JK0697)
陕西省社会科学基金资助项目(2016N008)
陕西省重点研发计划资助项目(2022GY-038)
西安市社会科学规划基金资助项目(17X63)
陕西省大学生创新创业训练计划资助项目(202211664016)
西安邮电大学研究生创新基金资助项目(CXJJYL2022049)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0069
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 11
Section: Technology of Blockchain
Pages: 3231-3238
Serial Number: 1001-3695(2024)11-004-3231-08

Publish History

[2024-05-21] Accepted Paper
[2024-11-05] Printed Article

Cite This Article

翟社平, 刘佳一腾, 杨锐, 等. 区块链动态分片自适应模型 [J]. 计算机应用研究, 2024, 41 (11): 3231-3238. (Zhai Sheping, Liu Jiayiteng, Yang Rui, et al. Dynamic sharding adaptive model for blockchain [J]. Application Research of Computers, 2024, 41 (11): 3231-3238. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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