Research on transaction allocation strategy in blockchain state sharding

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS Future Generation Computer Systems-The International Journal of Escience Pub Date : 2025-02-15 DOI:10.1016/j.future.2025.107756
Guangxia Xu , Zhean Zhou , Xiaoling Song , Yongfei Huang
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引用次数: 0

Abstract

With the continuous enrichment of blockchain application scenarios, people have higher requirements for blockchain throughput and storage costs. State sharding is one of the most promising technologies for blockchain. It decentralizes the storage of the blockchain ledger to effectively reduce storage costs while increasing the throughput of the blockchain. However, it still has the hot sharding problem of most transactions in individual committees. This paper proposes a sharding transaction allocation strategy (STAS) to score committees and transactions according to different methods and assign high-scoring transactions to high-scoring committees. This allocation strategy, which allocates transactions on demand based on node capacity, mitigates hot sharding issues and makes it safer to hand over more valuable transactions to a more honest committee. Comparative experiments show that the proposed STAS strategy has lower latency and higher throughput than the previous sharding model.
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来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
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